Emirhan_Istanbul_District_Recognition_With_Artificial_Intelligence.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Emirhan_Istanbul_District_Recognition_With_Artificial_Intelligence.ipynb",
      "provenance": [],
      "machine_shape": "hm"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!unzip Emirhan_Data_Set.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PWOaO3d7M5n0",
        "outputId": "9fb33052-38f8-4cb5-a64a-a6c7f4d2fcf1"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  Emirhan_Data_Set.zip\n",
            "   creating: Test/\n",
            "   creating: Test/Testt/\n",
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            "Data/Kağıthane/kagithane-1_136.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_136.jpg),\n",
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            "Data/Kağıthane/kagithane-1_138.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_138.jpg),\n",
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            "Data/Kağıthane/kagithane-1_139.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_139.jpg),\n",
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            "Data/Kağıthane/kagithane-1_141.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_141.jpg),\n",
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            "Data/Kağıthane/kagithane-1_142.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_142.jpg),\n",
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            "Data/Kağıthane/kagithane-1_143.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_143.jpg),\n",
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            "Data/Kağıthane/kagithane-1_144.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_144.jpg),\n",
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            "Data/Kağıthane/kagithane-1_145.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_145.jpg),\n",
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            "Data/Kağıthane/kagithane-1_146.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_146.jpg),\n",
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            "Data/Kağıthane/kagithane-1_147.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_147.jpg),\n",
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            "Data/Kağıthane/kagithane-1_216.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_216.jpg),\n",
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            "Data/Kağıthane/kagithane-1_217.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_217.jpg),\n",
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            "Data/Kağıthane/kagithane-1_219.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_219.jpg),\n",
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            "Data/Kağıthane/kagithane-1_221.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_221.jpg),\n",
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            "Data/Kağıthane/kagithane-1_222.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_222.jpg),\n",
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            "Data/Kağıthane/kagithane-1_223.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_223.jpg),\n",
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            "Data/Kağıthane/kagithane-1_224.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_224.jpg),\n",
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            "Data/Kağıthane/kagithane-1_225.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_225.jpg),\n",
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            "Data/Kağıthane/kagithane-1_226.jpg:  mismatching \"local\" filename (Data/Ka─Я─▒thane/kagithane-1_226.jpg),\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_004.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_004.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_005.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_005.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_006.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_006.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_007.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_007.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_008.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_008.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_009.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_009.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_010.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_010.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_011.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_011.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_012.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_012.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_013.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_013.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_015.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_015.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_016.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_016.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_017.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_017.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_018.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_018.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_019.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_019.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_020.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_020.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_021.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_021.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_022.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_022.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_023.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_023.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_025.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_025.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_026.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_026.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_027.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_027.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_032.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_032.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_036.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_036.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_063.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_063.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_065.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_065.jpg),\n",
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            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_065.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_066.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_066.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_067.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_067.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_067.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_068.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_068.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_068.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_069.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_069.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_069.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_070.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_070.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_070.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_071.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_071.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_071.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_072.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_072.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_072.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_073.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_073.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_074.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_074.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_075.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_075.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_076.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_076.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_077.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_077.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_078.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_078.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_079.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_079.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_080.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_080.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_081.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_081.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_082.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_082.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_083.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_083.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_084.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_084.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_085.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_085.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_086.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_086.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-1_086.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-1_087.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_087.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_088.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_088.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_089.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_089.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_090.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_090.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_091.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_091.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_092.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_092.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_093.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_093.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_095.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_095.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_096.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_096.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_097.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_097.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_098.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_098.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_099.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_099.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_100.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_100.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_102.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_102.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-1_103.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-1_103.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_001.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_001.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_002.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_002.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_003.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_003.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_004.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_004.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_005.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_005.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_006.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_006.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_007.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_007.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_010.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_010.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_011.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_011.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_013.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_013.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_014.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_014.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_015.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_015.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_016.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_016.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_017.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_017.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_018.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_018.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_019.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_019.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_020.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_020.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_020.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_021.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_021.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_021.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_022.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_022.jpg),\n",
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            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_022.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_023.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_023.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_024.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_024.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_024.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_025.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_025.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_025.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_026.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_026.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_026.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_027.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_027.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_027.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_028.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_028.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_028.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_029.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_029.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_029.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_030.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_030.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_030.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_031.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_031.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_031.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_032.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_032.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_032.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_033.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_033.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_034.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_034.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_035.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_035.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_036.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_036.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_036.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_037.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_037.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_037.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_038.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_038.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_039.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_039.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_040.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_040.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_041.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_041.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_041.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_042.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_042.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_043.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_043.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_043.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_044.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_044.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_045.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_045.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_045.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_046.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_046.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_047.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_047.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_048.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_048.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_049.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_049.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_050.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_050.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_050.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_051.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_051.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_051.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_052.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_052.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_053.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_053.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_054.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_054.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_054.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_055.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_055.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_055.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_056.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_056.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_056.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_057.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_057.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_058.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_058.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_059.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_059.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_060.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_060.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-2_060.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-2_061.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_061.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_062.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_062.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_063.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_063.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_064.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_064.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_065.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_065.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_066.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_066.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_067.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_067.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_068.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_068.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_069.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_069.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_070.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_070.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_072.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_072.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-2_073.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-2_073.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-3_001.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_001.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-3_002.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_002.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-3_003.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_003.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-3_004.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_004.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-3_004.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-3_005.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_005.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-3_006.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_006.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-3_006.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-3_007.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_007.jpg),\n",
            "         continuing with \"central\" filename version\n",
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            "Data/Mecidiyeköy-Şişli/mecidiye-3_008.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_008.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-3_008.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-3_009.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_009.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-3_009.jpg  \n",
            "Data/Mecidiyeköy-Şişli/mecidiye-3_010.jpg:  mismatching \"local\" filename (Data/Mecidiyek├╢y-┼Юi┼Яli/mecidiye-3_010.jpg),\n",
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            "  inflating: Data/Mecidiyeköy-Şişli/mecidiye-3_010.jpg  \n",
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            "Data/Taksim-Beyoğlu/taksim-1_017.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-1_017.jpg),\n",
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            "Data/Taksim-Beyoğlu/taksim-2_095.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_095.jpg),\n",
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            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_105.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_106.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_106.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_106.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_107.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_107.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_107.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_108.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_108.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_108.jpg  \n",
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            "  inflating: Data/Taksim-Beyoğlu/taksim-2_109.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_110.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_110.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_110.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_111.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_111.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_111.jpg  \n",
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            "  inflating: Data/Taksim-Beyoğlu/taksim-2_112.jpg  \n",
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            "  inflating: Data/Taksim-Beyoğlu/taksim-2_113.jpg  \n",
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            "  inflating: Data/Taksim-Beyoğlu/taksim-2_114.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_115.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_115.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_115.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_116.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_116.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_116.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_117.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_117.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_117.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_118.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_118.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_118.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_119.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_119.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_119.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_120.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_120.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_120.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_121.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_121.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_121.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_122.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_122.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_122.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_123.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_123.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_123.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_124.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_124.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_124.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_125.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_125.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_125.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_126.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_126.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_126.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_127.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_127.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_127.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_128.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_128.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_128.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_129.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_129.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_129.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_130.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_130.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_130.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_131.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_131.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_131.jpg  \n",
            "Data/Taksim-Beyoğlu/taksim-2_132.jpg:  mismatching \"local\" filename (Data/Taksim-Beyo─Яlu/taksim-2_132.jpg),\n",
            "         continuing with \"central\" filename version\n",
            "  inflating: Data/Taksim-Beyoğlu/taksim-2_132.jpg  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 126,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "slk9Z40hJ98G",
        "outputId": "ad9d17f5-3ac4-422e-8f03-cba4a0066f45"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 646 images belonging to 3 classes.\n",
            "Found 71 images belonging to 3 classes.\n"
          ]
        }
      ],
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "train_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.1,\n",
        "    dtype=None)\n",
        "train_generator = train_datagen.flow_from_directory(\"Datas/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",\n",
        "                                                    subset=\"training\")\n",
        "test_generator = train_datagen.flow_from_directory(\"Datas/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",\n",
        "                                                    subset=\"validation\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.backend import sigmoid\n",
        "from tensorflow.keras.layers import *\n",
        "from tensorflow import keras\n",
        "from tensorflow.keras import Sequential\n",
        "model = Sequential(name=\"Emirhan_Istanbul_District_Recognition_with_Artificial_Intelligence\")\n",
        "\n",
        "model.add(Conv2D(256,2,2,padding=\"valid\",input_shape=(128,128,3)))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(MaxPool2D(2))\n",
        "model.add(Conv2D(256,2,2,padding=\"valid\",input_shape=(128,128,3)))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(MaxPool2D(2))\n",
        "model.add(Conv2D(256,2,2,padding=\"valid\",input_shape=(128,128,3)))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(Conv2D(256,2,2,padding=\"valid\",input_shape=(128,128,3)))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(LeakyReLU())\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(MaxPool2D(2))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(Conv2D(512,2,2,padding=\"valid\"))\n",
        "model.add(Conv2D(512,2,2,padding=\"valid\"))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(Conv2D(1024,2,2,padding=\"valid\"))\n",
        "model.add(Conv2D(1024,2,2,padding=\"valid\"))\n",
        "model.add(Conv2D(1024,2,2,padding=\"valid\"))\n",
        "model.add(LeakyReLU())\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(Conv2D(2048,2,padding=\"valid\"))\n",
        "model.add(Conv2D(2048,2,padding=\"valid\"))\n",
        "model.add(Conv2D(2048,2,padding=\"valid\"))\n",
        "model.add(Conv2D(2048,2,padding=\"valid\"))\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(Conv2D(1024,2,padding=\"valid\"))\n",
        "model.add(MaxPool2D(2))\n",
        "model.add(Conv2D(1024,2,padding=\"valid\"))\n",
        "model.add(Conv2D(1024,2,padding=\"valid\"))\n",
        "model.add(MaxPool2D(2))\n",
        "model.add(Conv2D(1024,2,padding=\"valid\"))\n",
        "model.add(PReLU())\n",
        "model.add(SpatialDropout2D(0.2))\n",
        "model.add(MaxPool2D(3))\n",
        "\n",
        "model.add(Flatten())\n",
        "\n",
        "model.add(Dense(64))\n",
        "model.add(PReLU())\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(32))\n",
        "model.add(PReLU())\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(512))\n",
        "model.add(PReLU())\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(3,activation=\"tanh\"))\n",
        "\n",
        "model.compile(optimizer=\"adam\",loss=\"categorical_crossentropy\",metrics=[\"accuracy\"])"
      ],
      "metadata": {
        "id": "sqUXS2dANhcO"
      },
      "execution_count": 149,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(train_generator,\n",
        "          validation_data=test_generator,\n",
        "          batch_size=128,\n",
        "          validation_batch_size=128,\n",
        "          epochs=64,\n",
        "          shuffle=True,\n",
        "          callbacks=[keras.callbacks.ModelCheckpoint(\"/content/model/model_{epoch}.h5\")])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_vaSXNI7SzGw",
        "outputId": "a51d4471-a81d-4ad3-d11b-aabfea96972a"
      },
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/64\n",
            "6/6 [==============================] - 2s 193ms/step - loss: 1.8395 - accuracy: 0.3839 - val_loss: 0.6382 - val_accuracy: 0.6901\n",
            "Epoch 2/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.8155 - accuracy: 0.6269 - val_loss: 1.0144 - val_accuracy: 0.6479\n",
            "Epoch 3/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.7603 - accuracy: 0.6656 - val_loss: 1.0211 - val_accuracy: 0.6761\n",
            "Epoch 4/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.5929 - accuracy: 0.7632 - val_loss: 0.9864 - val_accuracy: 0.4366\n",
            "Epoch 5/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.5224 - accuracy: 0.8003 - val_loss: 1.1078 - val_accuracy: 0.4366\n",
            "Epoch 6/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.4736 - accuracy: 0.7988 - val_loss: 0.9999 - val_accuracy: 0.4507\n",
            "Epoch 7/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.4608 - accuracy: 0.8204 - val_loss: 0.9367 - val_accuracy: 0.5211\n",
            "Epoch 8/64\n",
            "6/6 [==============================] - 1s 153ms/step - loss: 0.3837 - accuracy: 0.8406 - val_loss: 1.1955 - val_accuracy: 0.4930\n",
            "Epoch 9/64\n",
            "6/6 [==============================] - 1s 181ms/step - loss: 0.3554 - accuracy: 0.8576 - val_loss: 1.2310 - val_accuracy: 0.5070\n",
            "Epoch 10/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.3256 - accuracy: 0.8715 - val_loss: 0.6868 - val_accuracy: 0.5634\n",
            "Epoch 11/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.2984 - accuracy: 0.8793 - val_loss: 0.5020 - val_accuracy: 0.6620\n",
            "Epoch 12/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.2456 - accuracy: 0.8978 - val_loss: 0.6368 - val_accuracy: 0.5915\n",
            "Epoch 13/64\n",
            "6/6 [==============================] - 1s 180ms/step - loss: 0.2070 - accuracy: 0.9102 - val_loss: 0.4875 - val_accuracy: 0.6901\n",
            "Epoch 14/64\n",
            "6/6 [==============================] - 1s 181ms/step - loss: 0.3052 - accuracy: 0.8994 - val_loss: 0.1305 - val_accuracy: 0.9437\n",
            "Epoch 15/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.2767 - accuracy: 0.8932 - val_loss: 0.1357 - val_accuracy: 0.9577\n",
            "Epoch 16/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.2302 - accuracy: 0.9149 - val_loss: 0.1763 - val_accuracy: 0.9155\n",
            "Epoch 17/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.2052 - accuracy: 0.9118 - val_loss: 0.1804 - val_accuracy: 0.9014\n",
            "Epoch 18/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.1833 - accuracy: 0.9272 - val_loss: 0.1236 - val_accuracy: 0.9296\n",
            "Epoch 19/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.1748 - accuracy: 0.9272 - val_loss: 0.0716 - val_accuracy: 1.0000\n",
            "Epoch 20/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.1663 - accuracy: 0.9412 - val_loss: 0.0588 - val_accuracy: 1.0000\n",
            "Epoch 21/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.1631 - accuracy: 0.9381 - val_loss: 0.0842 - val_accuracy: 0.9718\n",
            "Epoch 22/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.1579 - accuracy: 0.9458 - val_loss: 0.0587 - val_accuracy: 1.0000\n",
            "Epoch 23/64\n",
            "6/6 [==============================] - 1s 178ms/step - loss: 0.1543 - accuracy: 0.9443 - val_loss: 0.0553 - val_accuracy: 1.0000\n",
            "Epoch 24/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.1537 - accuracy: 0.9396 - val_loss: 0.1370 - val_accuracy: 0.9296\n",
            "Epoch 25/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.1445 - accuracy: 0.9427 - val_loss: 0.0649 - val_accuracy: 0.9859\n",
            "Epoch 26/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.1295 - accuracy: 0.9520 - val_loss: 0.0512 - val_accuracy: 0.9859\n",
            "Epoch 27/64\n",
            "6/6 [==============================] - 1s 179ms/step - loss: 0.1548 - accuracy: 0.9489 - val_loss: 0.1723 - val_accuracy: 0.9014\n",
            "Epoch 28/64\n",
            "6/6 [==============================] - 1s 179ms/step - loss: 0.1689 - accuracy: 0.9396 - val_loss: 0.2605 - val_accuracy: 0.8873\n",
            "Epoch 29/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.1378 - accuracy: 0.9520 - val_loss: 0.0987 - val_accuracy: 0.9437\n",
            "Epoch 30/64\n",
            "6/6 [==============================] - 1s 154ms/step - loss: 0.2110 - accuracy: 0.9272 - val_loss: 0.1169 - val_accuracy: 0.9577\n",
            "Epoch 31/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.2739 - accuracy: 0.8963 - val_loss: 0.0901 - val_accuracy: 0.9859\n",
            "Epoch 32/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.1685 - accuracy: 0.9334 - val_loss: 0.0822 - val_accuracy: 1.0000\n",
            "Epoch 33/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.1733 - accuracy: 0.9303 - val_loss: 0.1101 - val_accuracy: 0.9718\n",
            "Epoch 34/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.1199 - accuracy: 0.9536 - val_loss: 0.0544 - val_accuracy: 0.9859\n",
            "Epoch 35/64\n",
            "6/6 [==============================] - 1s 185ms/step - loss: 0.1377 - accuracy: 0.9536 - val_loss: 0.0634 - val_accuracy: 0.9859\n",
            "Epoch 36/64\n",
            "6/6 [==============================] - 1s 147ms/step - loss: 0.1291 - accuracy: 0.9520 - val_loss: 0.0588 - val_accuracy: 0.9718\n",
            "Epoch 37/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.0831 - accuracy: 0.9675 - val_loss: 0.0582 - val_accuracy: 0.9718\n",
            "Epoch 38/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.0970 - accuracy: 0.9582 - val_loss: 0.0202 - val_accuracy: 1.0000\n",
            "Epoch 39/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.1142 - accuracy: 0.9644 - val_loss: 0.0188 - val_accuracy: 1.0000\n",
            "Epoch 40/64\n",
            "6/6 [==============================] - 1s 179ms/step - loss: 0.1078 - accuracy: 0.9598 - val_loss: 0.0954 - val_accuracy: 0.9577\n",
            "Epoch 41/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.0852 - accuracy: 0.9690 - val_loss: 0.0784 - val_accuracy: 0.9718\n",
            "Epoch 42/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.0814 - accuracy: 0.9706 - val_loss: 0.0983 - val_accuracy: 0.9437\n",
            "Epoch 43/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.1185 - accuracy: 0.9505 - val_loss: 0.0645 - val_accuracy: 0.9718\n",
            "Epoch 44/64\n",
            "6/6 [==============================] - 1s 148ms/step - loss: 0.0707 - accuracy: 0.9830 - val_loss: 0.0130 - val_accuracy: 1.0000\n",
            "Epoch 45/64\n",
            "6/6 [==============================] - 1s 153ms/step - loss: 0.0894 - accuracy: 0.9706 - val_loss: 0.0131 - val_accuracy: 1.0000\n",
            "Epoch 46/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.0681 - accuracy: 0.9721 - val_loss: 0.0333 - val_accuracy: 1.0000\n",
            "Epoch 47/64\n",
            "6/6 [==============================] - 1s 153ms/step - loss: 0.0654 - accuracy: 0.9752 - val_loss: 0.0295 - val_accuracy: 1.0000\n",
            "Epoch 48/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.0722 - accuracy: 0.9845 - val_loss: 0.0225 - val_accuracy: 1.0000\n",
            "Epoch 49/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.0560 - accuracy: 0.9783 - val_loss: 0.0267 - val_accuracy: 1.0000\n",
            "Epoch 50/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.0528 - accuracy: 0.9799 - val_loss: 0.0431 - val_accuracy: 1.0000\n",
            "Epoch 51/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.0604 - accuracy: 0.9783 - val_loss: 0.0479 - val_accuracy: 0.9859\n",
            "Epoch 52/64\n",
            "6/6 [==============================] - 1s 188ms/step - loss: 0.0954 - accuracy: 0.9737 - val_loss: 0.0303 - val_accuracy: 1.0000\n",
            "Epoch 53/64\n",
            "6/6 [==============================] - 1s 153ms/step - loss: 0.0514 - accuracy: 0.9861 - val_loss: 0.0204 - val_accuracy: 1.0000\n",
            "Epoch 54/64\n",
            "6/6 [==============================] - 1s 150ms/step - loss: 0.0794 - accuracy: 0.9628 - val_loss: 0.0377 - val_accuracy: 0.9859\n",
            "Epoch 55/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.0566 - accuracy: 0.9814 - val_loss: 0.0530 - val_accuracy: 0.9718\n",
            "Epoch 56/64\n",
            "6/6 [==============================] - 1s 154ms/step - loss: 0.0687 - accuracy: 0.9737 - val_loss: 0.0573 - val_accuracy: 0.9718\n",
            "Epoch 57/64\n",
            "6/6 [==============================] - 1s 151ms/step - loss: 0.0537 - accuracy: 0.9830 - val_loss: 0.0814 - val_accuracy: 0.9577\n",
            "Epoch 58/64\n",
            "6/6 [==============================] - 1s 153ms/step - loss: 0.0634 - accuracy: 0.9752 - val_loss: 0.0773 - val_accuracy: 0.9718\n",
            "Epoch 59/64\n",
            "6/6 [==============================] - 1s 178ms/step - loss: 0.0602 - accuracy: 0.9814 - val_loss: 0.0479 - val_accuracy: 0.9718\n",
            "Epoch 60/64\n",
            "6/6 [==============================] - 1s 154ms/step - loss: 0.0484 - accuracy: 0.9814 - val_loss: 0.0422 - val_accuracy: 0.9718\n",
            "Epoch 61/64\n",
            "6/6 [==============================] - 1s 149ms/step - loss: 0.0610 - accuracy: 0.9799 - val_loss: 0.0480 - val_accuracy: 0.9718\n",
            "Epoch 62/64\n",
            "6/6 [==============================] - 1s 157ms/step - loss: 0.0708 - accuracy: 0.9737 - val_loss: 0.0889 - val_accuracy: 0.9437\n",
            "Epoch 63/64\n",
            "6/6 [==============================] - 1s 157ms/step - loss: 0.1086 - accuracy: 0.9598 - val_loss: 0.0376 - val_accuracy: 0.9718\n",
            "Epoch 64/64\n",
            "6/6 [==============================] - 1s 152ms/step - loss: 0.0459 - accuracy: 0.9799 - val_loss: 0.0191 - val_accuracy: 1.0000\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f6efc3ba650>"
            ]
          },
          "metadata": {},
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "test_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.0,\n",
        "    dtype=None)\n",
        "validation_generator = test_datagen.flow_from_directory(\"testt/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PdmJ9Js_V8FM",
        "outputId": "89684bf4-0069-4f2b-96f6-51e3234a0fe2"
      },
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 5 images belonging to 3 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import load_model\n",
        "model = load_model(\"/content/model/model_39.h5\")"
      ],
      "metadata": {
        "id": "LBZHawN1PXWB"
      },
      "execution_count": 214,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.evaluate(train_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eoHG81oBd-DM",
        "outputId": "960ef96a-83f7-4b0b-9964-649ef8162e9c"
      },
      "execution_count": 243,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "6/6 [==============================] - 1s 122ms/step - loss: 0.0331 - accuracy: 0.9845\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.03307473286986351, 0.9845201373100281]"
            ]
          },
          "metadata": {},
          "execution_count": 243
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.evaluate(test_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CemOHzmZd74q",
        "outputId": "44c396ae-2d75-4cdb-978d-74fe5722f183"
      },
      "execution_count": 242,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1/1 [==============================] - 0s 119ms/step - loss: 0.0188 - accuracy: 1.0000\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.018797287717461586, 1.0]"
            ]
          },
          "metadata": {},
          "execution_count": 242
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.evaluate(validation_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6QL43WQJPjEn",
        "outputId": "4818cea4-8e5e-4baf-9c01-ccd6324675db"
      },
      "execution_count": 215,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1/1 [==============================] - 1s 623ms/step - loss: 0.1646 - accuracy: 1.0000\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.1646277904510498, 1.0]"
            ]
          },
          "metadata": {},
          "execution_count": 215
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "predict_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.0,\n",
        "    dtype=None)\n",
        "predict_generator = predict_datagen.flow_from_directory(\"fotoo/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XX95CoCubIIq",
        "outputId": "cddeca71-abdc-4549-ae94-80453aace853"
      },
      "execution_count": 226,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 1 images belonging to 1 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prediction(model,predict_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W6z2yYtYbVoa",
        "outputId": "4bc9eac3-cdb4-41f9-dd1b-4e3e7b94e407"
      },
      "execution_count": 227,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted District is Taksim-Beyoğlu!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "im = Image.open(\"/content/fotoo/fot/Taksim-Beyoğlu.jpg\")\n",
        "plt.imshow(im)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "51GuO86eb3BI",
        "outputId": "02950f44-c2b9-4bb5-fd59-18a1d6700f69"
      },
      "execution_count": 224,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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OQpomGKDRFxhwhlUQjfLfNtA3USi7PBvHGlknOEJeUXbtVCUAXNcc3y2FMopE4NJqql2tPxr8qxnRtYP8Ymu3TLrt3Vgir52M8fW+wGvl9cD+g6geSWIBv2oaNg8Lr0i0+cTv6VuMm4DQK89D+xxisF9dp2mhXUfiscewbWyv+C9E7WOg0U1X0bA3hC/xa1xGg3Xt71h+v8D+IukifP77dV/cf4LV5u8+PGZvPOLKpQMb28hoiiylSWz5FmXZidJ60fRYg77BeQd4oHbDVmuDbiIzR4SsmNA0DU29xJhhEyjPR/y+P/wnOTo959d+4WcxumadPmInmUI3zdpBt0vHD1EhQ9rDunfE2/j9AFln4gHBmyfOL47quM6MjimAR0krwgpLJXiY6ev2/Wt0vne1xf6n8Ix4K00Gu3GbJtQVzn2nyW4e/v9JkljKsK7wgmw9KPVr2H4LwD8Agv1y96+v0+475YgsTuNrZ9pnJC7WDpi6ro66acFaPAXl5b4X1FF5+nz9EKhfFPB30bZ3vWfT94vkveuzQ8pZ02hOz+cYA3uTgoP9faqq4vTsnCxNUKpgsZTOOQUXSR/4wegXTXkx5ePf9imSfNpSLEQDBkOSZvylv/rv893f/wNsqtJkesAf+7P/Jt/1B/40KsmC2R02josgokCUDQrmtNFNCz5KhEQlKFEoUZ17xefhaA0RIUtT0iRFKRUApJ/n0PehCR9TXP6f1tp6kWgd/vXvGXqXTwZrIDkjyV5bMzE35WUMjtOx/zoEgOu3+D3999p30gUmB/DG5WehS20FrU117YocaT+y2r5ZlpEkiTsNyiqtQ207UALXJl0ayDcPSoIG7O/ra71D7/AKQOf+qBqhDTsUpv9ttdm2US5xCgClWz/9tt3avyKtpRG7F/fL3l9fWKnXlrTRStqxTrumIaG7SzniFD+3YqEZS5mdzuY8ODljvlwCcLC/x3hcgEBR5ORZ9kh1e6w1/bwY87s+/Yf4M3/hh/mv/uP/kHvvfBVwmkWoqwXqy9dvkuRv2pE2ME6UWHfGZVlxenKCjsxSv6nkwy9+E8++8BJnJ2ecHj9E1yWnJ0dUR/do6ioM5piHU8qCfZuXdbf0gO8ng9ehtfZ61/rBErvWDWn1/V3DHa3RRD7+AiLK+vm7LI1x8X4G+Mm4LNvSEGW0KbWcvR/o7edt7405/PCEae9dp8Xtwrma0OaENostCt/WHrDqusEvi8cLkpu1/VWNvS80Y817myXgx18nemQErr5pxbQC1gvSuFhxWIeuPFq1RAepQqxWarSxLs2hAVsFSqnWOSIuex/o1oVAflTA3mTl9fMc0rbfi5b/fiSf52JZce/BMZcO9tibjFmWJUpAeWVRhKqqgjW/C0X1WIP+lWs3+EN/+s9z5859Zucnnd8CmAHGaL72xc9x+81XLbT0OkKJIktTdFPz+c/8Aq+//gasbHoQnv3QC3z/n/rXme5fJs9zUiUcP3zIT/63/zVf++IvAzrw3f5vow1avG+31V+9mdshCtwEE+wiYABeAVEJOMFjvWjAh2wJSqC05rJ/v3aaXJqoCFoI2/+VoyOUWtUWjTFOCNYrMvKig3jd+oEtqqzesyGf4bQKQruUad39ntYJYsiDptMXfN95oe63/LfnvUpnjPUF5ipwtOhqBbCsCO6hWq2jc1ZCNCuvIXiDyESAHwmBHnnX6kemoyv1qchNba61ptGNtVjFt5lThpRCxDpR6MgDrg/qMa/dr/umdBEOflOeQxb1RdKjPrPLWDbGUNUND4/PWC5L9vam7GU58/kCjGaU5yhRlFW58XCezrs/qEWSR0lFMTY3nv841XLO0b13MKb2vAFK2skooihGE+aLOU21jBb3bLJg6jSQJLVgqauVyZmojPHBVZ5+7iVG4ykfevEl/sgP/Gv8zE/9A/7J//a3EWJuHFSS8+LL38Lv/vT30mjNr/7yL/LaV78IuiZRkWamDbXWgJAqxd54gsEwXy6C9aCNCe6T/rstk4RdyaueHrh7rAD0Gj0QhIOlnSIN1pncSimKIuf+0QnzZekGTkU/Plj8vn66iOk99HnbJO8Lk22TfJffO987hEdbDsG2pVKK0WiE1trunsZTT+vyjakiP7ba+xJRVutV3TYwsQnjulBJd+PeoIbs+jT4ZcUOBxeY17HFO/RYlxbq3nA4HfEjP/znKYqCBydzHh7NODo65fj4hKOjB9y6e4fj09MA+pvAfhcQvyjQx8m/b5MV8EGkXcvQVyCUUkwnY6bjEanbNzRflpRVg9HGefbUXkH5V8aYTw7l+1hr+lW15PabrwT6JSwLGevJ0zRNaLzabV6IqZ/UTRztFoAFQGurTSsPyPZeEUik4erhlL/8V/5dGsk5PzsnTRKuXbtOkWUYHZujCd/+yd/Dn/mLf5lK2yPwLl+7ztnRPY4f3LZASwvMlvf0R8ppEiVMR3lL/5guQHjtM3HA3U5IEwSASBekrLZmAvXhtS4i0PcanQikScLBdMy4yCnynHK55PhsxqKsLbdueuWBkO+uadO98aBeR8VcZGJ2NePWzdKYdfl3F2JDWZ1lNRmNQCmqqmoXI8Pu3/Xlk8i91PaRFcriFAEvvDuauJigKftyxfcN1TO+apwy5Esn0vbfNtosgGEkrLokTtxi3f8bY2gaG3bCC8pARXlgZxXsQ/0jYb7LuHqUsde3XDbl9VstCDZZoJvKopyL8GKxpKkbDg/2sP1tGBc5VW2xsKyUczJYnx5r0PdqleD+qtXBaDs0HsCERdMr+wfUTcNsOQtPeG26BeN2UCRJwunRPf7h//Tf8aGXPsHlaze49fYbfPlX/wVFpsDkwYpQIrz12tf4W//532Qxn2G0xqBpyjnjPA3TIgyrDj1jLykS+pOqnxR+4tDREGPQV8otQLta+vp710JrlSg8mmlj3Vpx92WJIlNQjHPGRcr5vOTobEZZa/SG4g1pTheZlEP86Sazd23eEQ5naRKsrBZUoAngtBo/RkQFoZgoy0PnWYZSEjbGifLhHTxMxyDSXXcJ6zkR4FswBL/zuC2D7y/bP8GNU1np3F/QjLlvn0/YzOy0/jD2pFumuM3XtbVEEyO2WzqNHQkkD+q+zKKcguH+WStmVWHYdppV//OjpF2FyXtdP9ilDPF7LppEhFExwmhN1dQsq4oHRyfsT8eMRxMW5ZKyKsnSjEJlqEQoy3Jtfo836IulN7zm0j14o6UzglYkzt/GfW+0XXwt8qwduZ6+XSP5RVe89sqv8vqXPwfKb/bRJAlgFEkE0svzY5bnJwE8XJFJeqa5B/oOJx9Jg/A5CCxfru7ETZO0najRgI7zamOh+DZzGq72AG4naaM1dV2HmD0WZAxZori8P2aUJxyfzTlflFRNCyVEFEB/Qj0K4PvPF5oY4YT4SHiLNd6KPCNxwKgj/lsaHQRAX9tUSpFlCUqEUV5Q5DnLqqSq+66ufYBarXfw+fJAr6Sl7cQEJcM+hxM47ViMQVH7vSR+7ETvCZSQWQXyXdPQc51r7v8dUOzNHcHGtA/1jPJuaajuakLsnNAv7y7jaVc+fFv6IOidbf0x1O59y8SHa2n8WBYbmGS2qCgrjVIwGhX2nqohz7KN73ysQV+JMC5awG4XbrvA3UahBAtq0GpkkCSCjcUT6Wi9iRoAF5+ndSD04OsfjkE2BvG2M0yHk40pgyFO3rhFNF9kDxjIgPkeTyTagdJaOxJALqwTBs8JF8FGrF7W6CYECFP24VabFJgUGeMiY1HWPDw952xe0hhPHwGdaXyxNDTZdl8faNuuP6H84qFSDqC1gDtoI0mspm29p8SGT3AurYlSFFlGmiTkWY4x3jPGBG3VU4xFnpOIOHrR7iNpefS2/9qFTN9UqwDbB/s+dx/qJQKRItHX/vua8ba2HBpD634bEuxdoencgqEzJDrWiQhNr079d+yStlmE/bx2Adxheu799cjpt+Om9o+TUso6lKSpHY8iKGe5iyi0gappKJQdu0YbRnlOfF7HUHqsQV/EAnYwlx1k20iGFljDnCIGUgLIe0TtaEoDWn6IQRNrU52yuKBubO48DStwGLQy6ZqStm+MAyJXDpzK2h8LBrSsum+GOpvuRHNjhEZrVydjgcPHADDO+0cbSGwZxLRCTkRIEyFLc8ZFxmxZ8uD4jPNl5ciMRwP9R5lMbb8Zt8bhBHPkAWOMsfseVNseEmnIItJucBPnRui0fMuXKrI0C4eC+LHQELnXGsP+ZMzBdIwxsChL7h6dtJqricZR4LZboRHXJQaBdYDfAVzT+q+v25w3ZL3Gbb4r2K/LbwhENYbanZ5l6ajewjQddifks47au0jqz8N19V53/9B7308rYl27rVhsvSRi94QUeYFKfAQBu4642ofCorQum4cHe4jA+Wy+sWyPN+gjZEkSOE+JNFXB+U578BHB86Mt49qbOFjGe8gsh4g/9xNPuhNG6C5KxSlMWKfrS0+zW9HCpLuNrLUUiE5PidrCgXRrTcTCp80j/oujP/xzoUwmbg8T0WdeS+62XYrmYFIwGRUcn804Op2zqJpOW/5Wpb5gjj2cViZT1PvGuAXc6Hxaq7s79cEBPsaQpYosy2m0pom2t3tlw+DaWPy4S8BZSE10sH2eZa3VqWKAGQb8vvbXB/TOb0avRItdB5LrQD4oBE6ADTzYtYC3fPbC1R9o0q4z2B8F5SXvihLTB9ehumyyAoYEY7/e6/IcemcfpB8V+C+yjtAvu/+c5znj0ZhEKRqtKetyY31ExLl1ntiYPXm+8d2PNegjkCXOhx3HfYrXvMBzuxLtymwtbQmUigdwuzO066YXBgjScfU0TgP3doJ9vvvskGZhmY9W0+kIkfh9QRtdN8C8dWDfob1nhq/KAF0Q599+t8LQt40JtevdF3/x79TGUmMupQquHEw5mI55eHLO0dmcsjEYs3mAP0oa0o6UdMNZ96k2pWKBELrc9q021h3V+MVcUEpIE0WWZYHuMs4aIAbl0DiWpjibzVqPHl82pUgSRZ6mgfIJgO+t0h7o+0Nv/C7qIe3QCwLTHoi2Eyj1x1sM+LHlYX/0tVtVlga1YmnvM8ZQV7WzGlvngJDhlrSTdt/qMDs9t6vF0FfE3iv9NPTubX0VCyilFOPRyIZUdsqGdcGEuPLDAspQ1a2Csyk93qCPdc20IKc71KineACs/7ydnLYt3GcjNHiap33YQ3lfi+9SOy1Q4rR775Hh30p/0EAok7c21pvUsT0SaXV4CyAKXRBr7lvaa3iQRWWU7vXwLyqOL7ffPdzN15AlwvXL+xzuTTg6nQXwb5/encaJraB+irUhi8M9fhlHh4mzVFQMqlbgJSIuYqihwlon3u0yUZbDD4vZgDiPJ5xFVUex4gULwrPZkrquyYuiFUKOJsrSBGrTiYviJ3T82dNNQ4Dvk9baxqt3pkYM+uuoir6C0fnslKUha3VIk197j1MeDAbd2Lr69S7fMb4P1EC/Dr0zLv+KBt6fVBvyWzfu1v22DZDXUVGbyrwt/yGLJEszxuOxdTrBb56srOLZ4+jjOdO39utGU/9OpncgbjTf485WdLF6W7nmO8jeIj7ei5gwyXECYZDPlEFWhRW7NLpuHPCDj/bYRc5ILnVSV3CsGfydOg/lsWoaDg3s2LLo5i+IWxOxxWiFnLcqvKne584t2MIkT5lcO+TS3pi7R6eczktqbTpN1jenhyb1uvt6NQYRGt2gVGJdKz3FJaYjFOy+ZiegFYijR3wjGOwehSzPqepoI53YTXwBlDGdEBZ26Gku7U+ZTiaczebMy8oGfvV7QnTDKM8wRlM3q1aDb8sY8H2d4zbx4Q30gM/sJj6+Q+N4aDYt2Ic+HNBIg/buxp30y0U3D4xBK+nUwbue2u5y+xMGxvAmcF75bML/2GY+xGPsUSma/vvX0UBDZd6UhsojYt0xJ+Ox9dIR2+eNboL32LZ3Dmn9m9LjDfqu/PHiqDhOv9Vco8bQ7ezswqX7tkVTiHn1lvaJksT32rcYvPwx7Q948bRhcBh7hxELSu2tLSdKPOg2aGbbUzB1nLz0ZXTAGFkqYe+vxFZNT2t0WRoMog2TPOW565c4Wyy5f3zO2by24N9L2zT6oe+xNqSNoWkaMizN7oIAACAASURBVITcua/63+KNT7YPJVS5axsYC/hZSlXZTSxppEmZ3t+2nUwoQ91oZvMFZVWRZ6kVlEZjORjYn4zBGJaVPfKSSLs3rg7BlbRXb6vda0dFBYhdC5wWD7uC01/3Gn07NglaeKhbD9R9fe1/EuZDgPwoP/+7P0JU3DAW/yx2B/JQuS+UBDqHEOz6mEio1HsVAJ08B9I6a2CTAFJKMRmPGRUF4jZg4gR9VXuvsNbK7St36xSqbVV9rEFfG8OibkjcAqPfXtTRgp1i6bnGLtRHS6rRQI3TOq0pXO93ov8Q4bCJL0ZlW3dYRj9D4wanYLwssJ97VkAr+IY15aCROyHhBw0e2IVAb/jdxRYwW812vihJ05Rx8HdfFTYdK0OwAbcwHE5GTIqCt+4ecXS2oG9VrQN8/3eTIDPG+HNUXDf3vF/wGmVowPCbB1DErhElSUJZVWHTlL/PGNMeRB0EuSFNLHUzKjIL8iIs6xqVJFw9HFM3DefzBVVl+VeVKNI0sS6uWgeLqjEaXTdRDHo3ocFpd5bOsUp0Z9UmjGXwYN6COuCWkbpa/QrQRG0S1zkGrK5227ajMav+9cYJwM7Jbj1BHNxWe/29sZ8Hxnznno05RAAYi/tHpGY20WibKLEO7TtQ5zzLmEzGZE5p6JnHYdzE75EI3+K+G8KDTemxB/2z+dJNTn8AtYoiHwoJEQCxOkh20SLbRt+uhcbXbWq1Cft43HnRA70sulq//xNZI1YFD5PYZuEHlLN4TLeT61p3nvGL0eFgb+9RIjY6YpooUmX/eU+Bs0VFWS+Yjgr2JwWjPAnxf+KydwAj7DLVJCJkYUdsd/B32+0RkjYkriG10Yh4z65IEEUWki2TbUelFCPn1VDXLoZTGAetlm2Mo4LctUQlTEYJaZowHhXBxbOu6+Djr0RRpZXj5mE2X1iIVgoFGC3UTUOtG3TjfdpViKnUBO0+3tDUq7uJYuzQA3Vjef8VzT5KfUHp6xt+7wnzeE7FAd58f7aWih1LrYAwzuqK7cvdqZYu4HsVr6vlSzTh1i1bDgmOYMUNCLmteQyAej8NjfMh4TAaFUwn40jhICzqGwhOAt02W1We1lkQ29r6sQZ9jKHRjptsDCIugqXzBFNiA5hZ/2wVBIP0NOS10rA1G1Yaar30bDs/4Eb4OdaawiWXPEnVChp72It0n3P/X+lwQ9g1K+JBuM2v74bnBVnjAQ2DUXZzh/fgaJSQTyekTvsV1WCMsCg1Zb3gfLFkOs45mIwYFxmJxOWP2tStDtuDzTTjImM0X7Ks3brHhnQRflSUPbvARg5VXcvOCUpLJ7Q6MbiDaJSiLEu01hRFEU4esiAfAX5Eu8SbvdI0Cd/B75htQzskScK4yNFaU9UNyp3XrLX1bml04/rIg42d5DHV09Xu+6mlcgIgRJ83aZXezTVYEANjvQ/6Pq++JdC/ZiDQO8b1g0SfvYh6lNRZr+uMoy6g93OPwXBlGrIeLFfevwETNt238rsrR5om7E2njIo8eHMZOyDCHpKqrDrHb3bfGSumbdtcVI96rEG/XxevvYp22p5Y81LqJgzsLLFhlJMkijxJdyADK3yfN+Xje/rJd0z3mdVCr0zdtZ0SdW5ktonnjgQH8gSOFGjXAMKh1K1W5XP0HkC2mkKNwYgiUSm4OEEYG6FTVOImaxImqtaGRSmU9ZLzecneuGB/MqLIEtKwAcq2mSjAKDQNGMPVS/vs7085Ojnn4ek5y8qgTdtuof193QeAf2jCJUqRZWmHkgErcyydkHShwSkEVVVTliVlVTvNugzun0GAuKB8jdPe/QE3Fujtwm+fk2+ahoUxpKldX8jSlDRNMcZysk3TUJZVZ/u8uJCn2miaugkxkEInxl8GgNwDv7dEvKBYB+Q+DZ2hAO05AUNcdBvSw823fkhnl+qmd3RfNLeG5l4/9a3vYXD1gBf/HZ5aK+21Jm2jdraloee7ylDbdqNRweH+PrkbH+EeERrXzt4Tyu828paUn932exfkI4PVZbdZyYLHHPRtiqXb6i94KsNRDI3XtJQEDdbze355C6JhY0yIPd5P/pkwYSMqybf8kNkn0fPEbIPX4IXWld/gJokJVoNg2nyiZ51S4ExBV/aVMtMpl8KubycIpClKWSCrm9rtwG03uAlWCExHBVVVUznKYVEaqnrB+bxkUmTsT0eM85QsbWOla6OtLSNCksBennMwHfH09cvcvn/EvYdnlHU7QocG5zpBYEHJcuXx6Utt8LGo5g7AksRuV68qG6DKnzFgjHXDFBGyznscHaXaE7JaTd++Mz6owpfLg6O3NpMkQdcNxthwzPEh1t6E72v3QeOL0jqzPWj42oR9JfG967T1obaO27JP+4QxL7IW7H2q66aldiT2+pHwt099bATLgTp5iB/S3DeB91B+u1zfdO86unKlHG6u7u9N2Z9Ow2bAsObg21ZbL8TFcum0/NZd2hjl4cG9q+tgEecVX9uUHnvQF0fhBFM2/NAKAzuwW7uyRiON9VlFqnC71fwdTeA1amKxsrrcKg6148lk+uIVOpNH+s+7ZHBb1sVGwAzjxX9w2XY7rTcptbMkAtB1NZ+VZ12z+PgtHnhUYyejn/g+PlGqFMU4g3FBWdU2Xnfd0GjNvNSUdc35fMlklHN5f8JklDuqwtEc7tD6okjBWE+ZF569zrXLB9y6d8zD43NqKx1WO3ugPUObRmDi6RGl/NJ+e5/X0LXWVFVN44+LVAqic5WtAPdCwwYMS5KEVKy2HgO+MXaBV6BD8QSrKkkoioKmaaiqiqquqevaWhMIRFE/PeD367mNnzXGhN3FwZoMVp7n0KP5AIP5+fbrb3LzwqHvVRQD/rBGbuvUis5+eWSlq7dRev1yd97bafn1z6yzHneldtaldX0Ut6N/d55lXDrYD2tBnqloGk2SWCVDa41SiuViGTT+VsP3gD9M9/Tf1/62uX6PNeiL+zctMlIlFHb+MKsby9E2DcuqoXFaLwFw/c7beGJ4aWkFgCgsBRR+XbUnYsm6CsSrK+cB8E3v1pBfy723BkME2LShGTodGUk7gY7nDZ3p1k8RF2oRs53AuMnppUIErEogESEtMkZZxrKqmC1LyrqidgfClGcNs8WSvXHBwd6YPE1IEwmB3rI0YTzO0dowmy/YG6d89PmnuL9/zp37x5wtyjbq5xbKJ1BeohzYJysarVKqpVaq6GyFTlv6YSKd5hJx0TCRAP5J4OStP70Sg4quAyTYLfNWyBgb69wdYiFgF47FWkxNbxPWJuDpAH30z8e5jvlqWxe35Gns+kSwGnpGcqzd94VNfJ6yckHq1gFpR+MVQ1lWOAO2tVyjNl/ruXaBtKm9htpzHVBeFPD7gm7oHUMKynhUcOlgnzzzrsXWmaCqmmhznqUGl1VFWdX4dR6XU3jOvW2lPNaywm3gWr/JsZ/eE+iLyOvAKdAAtTHmkyJyBfhfgBeA14E/Z4x5KLY0Pw78SWAG/CVjzK9ueQFgV7Mn45yXplO+5cpV3pZjvul3XafORvzzX/k6r/7mXRZVY32i8Q3v0MdrRbhQu/YDjRFSA6lKsJEGYhOyawF0wwwI/pzedgz4SJWrVViZOFgOzygvhNpQyJbBaV1MxaMUfTmyrWOl8ydkPnSfm582UqIPC2AQ5XcpQ5FlZElC2eTMHTeutWZZNdR6wWxZWdpnUjAZ5SSpUJYVoJlMRlw63GOxKJkvK65emjAd5xyfLbh/fMZiUWJQNNptCRoAfq+px4Af35O5A6Kbplk5Mq7TbqIQ0d1+c3SXiAIx1uPGnT9au121InYx2FsAYIVM5iZaWZaWDitLm6coJLFCSOqG2nH3Q0DUpwz6gG/dcjo27orAC2DvNPy+HhBr90PP+jaLw0LsSocY0y7kdmfJ6sLwLulRNPEhS2TdPdvyGXp+3bMx+HplIlGKw4N9ppNx51yHJElomiaMododeqKNYb5YErvk9lvS52/LpzGmv0O3X97N9Xw/NP3vN8bci77/KPBPjTE/JiI/6r7/B8CfAF52/z4N/Dfu75ZkKJuGVOBhec5nHsz45Hc8zb/31/86Bze/k8997kv8p3/jb/LlL/8mD87mLP0A1PEuTUsD+MNDtLMCmqDFKXuUnbSmaft293/jt5RbUeB9pcGBpgG/cQy8Fh3nYT95c61xk7lDLTlVSbt3CQzJkTBAvEZJZxIT6u3L3qWjWs3e64Re6zfGaaTaunMmISyz/T1LFKooyNOUZVk5N0RDU9Ysq4bFsuK5G5dBhEbDstI0pwuSRBiNcg73J9S1JktLijzj8v6E82VJVWtu3TtiUcbx61v/bgvMiTtL2P9u44z7yeS1aP9bt93dgqXfMOYEnQfyJFXRexx3H8De0jlpljoPMRVC3S6WS5bLJU2tMUaHfkMpjBGWZcWyrOiD/RA37L93NHtvwUaV6R8gPpRP/K4+4MdlaMNw2zyHzljdpOV6K7RuajeWewqK+H7cHfg3CZu+sNqm3a6zqoY09KHvuwsfO3fzLOXy4QHjomhx25gwXjw12DRuNUYJi5mndez8s9Fx4zbva/qCj6Xl7/HKY1vXD57e+UHgD7rP/wPw/2BB/weB/9HYUv1LEbkkIjeNMe+uy8gp4DTG+v7+8Y98lHJccfjUmFc+9wskX3uHX//K2+hyzigV9kcFzBckSUKmEoxpyFPF3jSj0vDwdMmyaoFZGxBjMGgaowNQx5EcMX7y9DV+Auj651oHxZjzjSSD036M4DjiAVc5JwUMq4O2BfLoxhWlPhowIqFEBkGM47bFCx//pIS8DYaqrCmxi7qJB4toQiRKGBUZjU6p6oaytjtwy6Zx3ptCre1u3VlVonXDpYMJRZ6ikoTxKCdNNWVSk2UJy1pz78EJ3q1VIrDwgBV2tLpyZVkWqBy/SIvrO008YZ3QFzCmDvckLgxDkthAaXaTjKGuKnDmsv2tXdBNkoTUvXdZlsxmM7SL2+NdSH1/VXVFs0a776c+2Bsf8yiau4mzPjxYx892828FfNxu8fsDlUNb3n6e2yiR8LuAduGoO1YGkQIl3ee2gek2ui/+PsRx+8/rhMIQuG8TTJvuEbFHa165dECWZUGZA+v1Fcamo82axlI5ZVWzWC6DNdn2QTfsSVDc7JUVge9/igXGpvReQd8A/1is6PlbxpifAG5EQH4LuOE+Pwu8FT37trvWAX0R+RHgR+xnO8GbpuHO2YxfunuLy4cF8uVzXn/3Zzmfldx7MOP4bEliYD9PMU3OsqoZ5cJBMeJ3f+yQv/CX/gT16Gl+8u//HD/7s7/EbFEHKqij1jsgbHBmddCBQUx3cIVvxqCMBK1HRAbD4bcmgAMhJ8iU26TjixLnayJ6p5NFKBmBQvW/dGmg9lpMaRjTfreKqT083UNn7XalesEELiKlShgVmXufslRUnnG+LDmbL/FrDNrREsZA1WgSlTBfNGgjzjx1toqna4LtIq59VsHeliGhKHIEu/U/hBqOkKXDabu+sh4SrT990PDDX4VumrAbN0kT5/nVLnYmSWIPXmkayrJkuViAMWRZ5k42EsqqDqeRecqlteCGwdOCfEsXBk3NtMDl71t3xGCcfBsOAb4xxgK0MSRu23+zhsq5CMXi+yJed/LrJnautAAcl2VtHXrWxUUshW0Av8sz8bvX3ePnn1KKw/09Dvf3wsZR3/9JkoT29V6EPvSHNprz2TwcjtKl1GKlLB4XYEyPvgzXu3N8U3qvoP/7jDFfF5GngH8iIl/uFchIbIvskJzg+AmARCmjRNGIpqwNX7l/zDP1xE7qd07RBhbLyq1vKRIlHIwKHlQ16IbrB3t8+ruf47u+7wcoLr2Mzp/i3tvv8sbrt7l3NmfZ6A4Xb7Es9mZwZSIaBIIF7Ij40I6JF8uKOxOsP5Bayezpl364XXtX617qtYtOTh2qJl5/iO/zkyaaeO7YSaNdbHbjKB1fNy9wjPM4IdgA9nljyFPh8rQIwsYYLL3TNJzTTvDGhXhtjA33umxqBO9G6WKLuEUsrwlZLTEG+yTa2Wl5+yzLbLiCpgkhGUxot7juviUs7eLb0fOp1n9fkRduh25VA9qd8apcudpgdEmSOn//irqqAtefJAljFyhrsVwGmqmua6eZm/afacFOokkexpnx48pZOaq7EWoXKgewioSzTsL4EbE7fp3nmH9/X0AO5m/ij6v3ikAdUWvR8MM7CvQFz64gftH1gF2tqk357irsBOudc+XSAZPxKIzbxh3LmUTgr5TCaO3WwqwCNV/YSK0W19s+9tZawJ6ORr++bK3S4Gfn+vSeQN8Y83X3946I/EPgu4HbnrYRkZvAHXf714Hno8efc9c2pkQErRR103AyL7kyHmOMZtk0dvW4sdEMvUl8OB5zaVJQ1RWjPOON10/52//Ff8bpQnjlK2+zeHDMQZ6QHE65fXxGluUOQAypCHuTlMODEcezkjsPzqlrz3u7xteeCunBjJ/MbnJ3wFM8wHY5//B8BOKxfeHkS8tzOfu5xX0VrnsAX82zLaWPsWOM3eCmnHpg3EuMNiQCkzwncRZAllguXzAUWcLBOKMx2vnwQ2ogS1pwNsawXC6s+BOxG06qhrmq7IKrErtzV/vQARIEkAV6r6Had/apnKD1S0SqRWZLK7CDKLFAruyZC0ZsXJw0TTCGAIRKJWEfgFLK0kjOCjC6oVwuQ+gFIFgMeW534frftI58+XuTtAPgbk2nNdJaCyfm23dNHnSSpA0Lnbh6NE0D2nT2CfjxFso6kGKAjO/pauDG1dmEA9qDOuSs2nVc+aNo8u817aLV+2vraCABJpMxVy8dkqWJc4cWqqoKfeAVAK/hWwtQo1TCsqpZLMuWrd9ixfUF/6YyWithc3s+MuiLyBRQxphT9/mPAn8D+Cngh4Efc3//D/fITwF/TUT+HnYB93gTn2/fAYkCjY0Ls2w0d09nTPPMLsKKbyTb6Bi7o+3p/X3unh5z594Rd34j5ZUv3eW0rFlWDqwaw+VJQZYfcOf+OUWWMUqFZ65M+KE/+018/w/8W9x5WPNf/vjf5pd/+UvMlzXGiPeYI5bEXj024OK22+8AOkC7o3xcx3Xi2ET17ebZmpA+zEG3M1uQ9/cNG6Btlp6bV9jdsx6oBXvoupbGgmxiJ7MSKFLFwSjjYJyTpYrRpGBZ1iyqmqox1MZwvKhsPkoYFSkvPn+d8/MFb7xzFDw7qqqmqjUqsaBfOw+hLBUQhSQJiWmBL1EWnA24iIP2kHfvMmmtD38aVpcKsVd0lJcFQm0gTe2h0XVV2bAdiYQd3Fo3YaNVlmXOxa6knC8wut1kZX9LrPLhhEFTN4gYkkSRJpH1VbsxZ4honK5G6vcVxKGWd9Faw+9KSJMUCXSUDfVsGkvnKHHrSF4j77KG6/MdoGH6QCNI0G79uz3yxxTPpnf8VqQhgfVeaCJ/zXrnWDonDthXufEkItR1TVVVFvC1DUhn+1VYVhXz+dLRPgCt5xXQVQLid4MLwxLd42Jp5WlKljkvNACluLVYrK3be9H0bwD/0DVOCvzPxph/JCKfAf5XEfl3gDeAP+fu/2msu+arWJfNv7ztBUoU47zALJc0omjEcFJWiFJk3ooRaw1Y7cYGfzJ1w5V8xPO54oc+epOf+dq7/OrxEWdlTdkYamMXHL/tW1/g5z/zFbJEuDTOuXF5wo2bl5geXOGpPOMTH/0wD996l3tH58yWNWKEsq4pGzuRuweFB2zuWFcaEKPtAeXi6BU8FeJu32hySggzEMO4/+yfNV7wEQ0eiaDf/+yoGk8ISbhunI+6Bfo0UVRVzShPuHFpyvW9HJUKkqWczEAtoKw1lbZHWuIEyLhI+c5vfY6bNy/zK599jX/xy69xdLLEiF30Vdppn9qgEmMBXxLSNLML9mJB2Ac1izln3779xbtuvH/t6uRDKaRocLFwrKuc5VU1WZKG3bc419ksy8iLAqM1i8WCcrFEN43dzKcsJZRlGctlaT13mgbB8/e4yKRRGY2jP9wh9L6/oQ2B4Cmhwd7fQo1IoizgOwDwh8I3dWOtTUcz2MVuE8aEpw/j8mxL68ZpSxUBpjtO++M8/vt+A35fSG17zy4afvy9yC2dMy6KMG+0bpyVZ3fPlmXtFmqdN1xjvbzqpqFxYZNbw9RZZCIo5y3nBYcd1+IC+jlKzllpfo6IwLK0awRJIm5PgAqbvNalRwZ9Y8xrwLcPXL8P/OGB6wb4qxd8B3VlGzBN7Mp3pW245TTLUOiw0cqb+cYYjufnPL+3x6evTvjUX/xBpv/sC9z+P3+Os+VxOGt0Pl/w4PZ9Lk9HHJ0tmI73MI3hn/5fX+UXfu4/4eHxgvv3zzhMFdefvcLte8fsJQUjUSxrzcNlybtnM5aN5a5LrWmMwYeA9u6hXiM3jus3PQnenyCBFvADb2W8hrudhmt5vIAxbkDpznsCu9rjZf2A9u/VHIxzXrp5hdlsxqJsGOeKj9/Y48UreyykRo9HvPbOMUYWyKJBNW1cGhFoas3tO/c52E/5PZ98iW/6+If57Bfe4Etf/jqn5xV1ozCi0AasZ6R9f6oSVC4kWUrTeArCrX/gAbI1hQP3H2lzHvCTpOXuRSlyp93PF6WbkIYkScnz3PHbNYlKGI3GiFI0Tc1yPqcqK4xztcuLgizP7URbLlkuS6c562BleoCLzXERC8QxyPqye1poyHQfolX6vydpEvYUtHk2YDRKWR7f7hGI3Cn9u7zCsiFtWsxslQ23RhTu7+XZNX4vxOlftEz9dBGwX/eMB9/96ZiDvb2AQ5bCbWysHLfHpCpLtwO8Ff6JwKX9CefzpVNwnHB2/VU7gWxpzMStBWhH/xiKTJFnGcbAydk5daPJs4RRkSCIjStVlYikzist2um/Jj3WO3KNsdvf8yyF2lAroWkMVdMwno7YTzN3LqeQpQmJ2FDLhRL28wyRgruvn9DcP+PaJGehDpg3LmaJQNYYnrl8wMPTc/I0JUFxfH/O2YMlguLpvcuMErh8JeOZq2MevnvK1ckeZ/MFo3lCYzQn85I0UTSpcPvknDRNmRYF2p18U9bWl1278AlhoQbCIo4HDegNOvHLwz7FmzL697kJ1ckjmqRe9JjeoBeCF5ExmkmR8sK1KcYUNFozzoWXr0zZaxoOxjn6YMzDswXzqqFuDEa6xxQiiuPTEpWknJ2dkScp3/PdL/Edv+sFvvrabb74629z5/7MRk/VhtodszgZFSxKu5Gpdt42xlFMSZpy+WCf+WLBsnJul4577x43CFmWU4wsz66ci2Vd1ZRlhdZ1Ryi0zxTkeUbTaGazOXW1pKkbFJCmKfloRFHkVGW7kOvDINst9YlT+yy4dhdpTbRuYnf1KhEXe3+Yq/Vjv58CYCSKxAV5M8YEd86qqtBNQ1FkbtE5nJ218V3r3rftHj/etN9zop27qRMyvs6e5sFs5tTfq+Z/0UXadfcbNycF63t/5fCAUZGD6QbbC3tpjD1zIU0zK+Cjdk5Txd50jADnixKjNYko8jRBJVYRO50vLaWYFqQuXENZLZ2lOiJNkrBYXmQphYt4q40mTxVJkpNnqfMestb4pvRYg37iFuBGiXWVS11Y4Epr8kTxiacuo9AsGzgtK0CFQTfTDf/43n3+9x/7cV68dAi5YpQpssztyhVBJcJekbM3yrl7dMLl0VUypRhlKZkkXJ4WHGRQJJqDpw44f3BOZTTzpqZBM8lTlsuKUap4+eVn+fzbt3nnzgliDIUI+6McA5xXNYtas3DctDWxIwLfA38M1hE1Y8JiLdE9tPf2Upf68RfFxW+PAd+ZklEeeaa4fnlMkWqmE8XhQU5RGs7eesBkv2Apmr2RcO0gZz5fMq89/dKapWfnFbNFw42nDlFKcX4+R6j5xMdv8tKLN7l194zf+M27vPn2PYypmBYZhzcvc+94Rq1tPPplWeIUUrQ2HJ+c2D5T1pUyUdZu0QKpUo6aykizFEkScmd9LMvI2yaKpWOMRqmU8XhMkiQsyyWzs3Or3eM0r7ygKKxnxnKxpCrLYGmEtSRaTy/r+246vLwxxlkLICqhqTVlc7FFWt9XOIGVpO0mNb/xx+9XKPKMpm6oax1ccHdy9Rzg73crl6d33AHu7gT3Nq9Ws43tgG1rFuuE3qOuD2wSokPXlRKm44L9ycRZd4uoL925Hq7N7K51e62pG0bjnLKsOD6dcbg/QRnrObVclohAWhRkmYsI69aUijyjyFJ7xjJWCVKiSJVlOZqmYVzkZFlKkWW2JRtDkSco5Xaka7vClSS/g0E/TxPQDWU556n9PW6fzqi10BjDg9mca9ee46nDglsP57z5tbepPJVlYDxKGY0n3Do55+TomG995hq5ELhH4zo2S4QXnrrCK2/dotJX2S9S9oqM/XHGU1PFhwphqlJuqYR3Dia88c5DjCRU2nK5oywlw6Bnc16+eYV37xxzvlgyThR7WUGWCLnKOFcWCBa1O8Qdy/crvIYskZbe5UUBT7zTvbQG8E0M7Q6QXR6tWGndI0XsIqx2AdcO91MuTRUHBxnFKKV8MCcVQ12W5JdGPPvUPk9fUxzuTXjtnRPeOV7gg7mJCLUR3r1zTFkt2JuOmU6nXNnbp6o1Wi947uk9PvTsJc5nL3ByWnL/7kMORhNu3T3ha2/cYpqNqJqRtWCMoXSeD4j3EjJ27SFLyPLEHVCeUFaa2th6zJcly2VF4wA/dZNJuwW0Ii+YTKeIgvl8znK+cIuxQqIyiqIgz3PqpqYql+gQkqEFHq/xaR/q23mxdAKQifPx18a57G0Gn7Vg58I6hIB5rq2ryIU0S63Jv3Ax2bdx9u+Vy7c/2nob57nUOH4/Iq7tOAsb5Gy5vBNG4PwF/EExm963TZvvt+VFBZkSyxpMxwWTIiMRK9CUm37ewkqd4jFfLMEYpqMxs9mC8/mcw70ReZJRVSnTUUaRJYyLlMUytaCd59YjKC6vYAAAIABJREFUTglJYkjTKZnzKPO0T+IcHpLUh/42LqqtoWlqwK4PKOeVpp2lFY4X3JAea9AvUsXNwxHzSvNtzz7Nz7/6Osta0RjD0bLi4WLJJ7/1BtdvTHjqqTF140IrN4bGaOal4d5sxu2jM+YabhyO0abBrYy6CSl8qDjkrbsPeDib8ZHrN9grEq4djrgxTvnYc4rnf+iv8Ct/5x/w1tGSt9MTzkpNA6CEPEugaXh4/5iXX3qeawdj7h4vMImiSBMyBYm04RJqral1e+qv38EqEejbcTrQcxLgu3t5I//brg1YHrLrN90tg8JIymiUsX+QopR2bmYWYCvTkGfWLF0sGyaFcGUvJ09VmNhpasMlzJeGo7OGeTnnZNZw6UAzKnKmkwnG2DCy4wIO9w+p5yd8y8df5Hv293n44Ixf/OXP89rbd3h4ukASxbgYWTfLREgTQ5bC4cGI69cPGI1HiKTUWliUDffunzJfVLxzp6RcWP4+z53HTl2TpCnjoiBNMxs/aDanWpaBJlFKUYwKZyWUlEvruRO3uufi49APLc3kQ3sQ4uyXZUVZ1xYMfXcIYNrjKP3/RUKHhD5K0pTU7RgG3H4FHRaS7VC0C7rzxdyG+HDpkbT3iyQheO/Y832bsDFvHW3jPa9E3HqQCvYsdaNp9Gq5Y0vE0krSYzi7VsAuLq/irMTUHW+ZKLE0rxKKPOFgMuZwb0SiFA+Ozmh0w95kzNHxKYnA9cuHHB0bZosleQL5fsEoV4wzRZKkTPLUzgcRDqYjwK/pCWnqToKi6YbxFkGowyJ8mqRt5FOwmwyjwH8iqt2R7qq/rccfa9DPEsW3f+ga//wrb/OFN97gE6MJn63PqLWm0ppfe/MOf/TTH+bZm/s8c3OPurZBwGbLhvN5zems5qXjq9w5nvHO0SnPXT/E7pmxzaL8GZ4q4YUbV/mNd++RvvwcV69OKVKFThS33l6w/Lv/gM9/8TcpBV64dpXPvnULkYQ0cZ5DNRwkGZOzik88c51/dvIWBhhnKUVqd6Uqsa5V2hjuzxZugFqxbESIF2O9tu9TPKBbUqE7kTpeC/6ennzomNZeCETCRiThjbtH/N3/+6t88uVrfMsLhzxzfYIxwmxeQ5YyFhy9YrW5xEUrFRcB0w7ghLKB8wWUtVA2UOslRVYjaPb3xhzuT1GJ4t79E0SgXp6RX97nox99liv7BeneIb/0Lz/Lr33xa5zOK9LUcPOpCQfTjCQVrl+7xJWrh44ySChruH3viKQpmC8UzTJnb5xxvmg4my+pGxiNx+T5yAqdxYK6KjFRsLEsz8jynLqqmM/mTotvUJaM7nD1sb++YNdsPPCLgHK0S9M0dh9Jh1XzHR1RHP7/xveTuDLl1grzMfuThOVySemoJt/ZWZq6KJ+rG64GkwdOf3fMxoQLXeVgTTbOOaJGN7VbYzPRP93x3om1+xC0ROw8mo7HnJ7P0MqDvzfd210oyh3d6Rf2g6eLKOc8YTXeKgrN0S2vF0QwKQquHO7ZvSnjnHGesliWnM/mHIwzTL2kXsLNZ57iwYOH1GXF4bV99ooDdNNw7XDMNIPTWWYP9xG4PB0xyjPSNKGsaxfe2zDOE8o6o3YC0Zc73l+rdWNbS4TM8fLB31+psBHRWq3i1g+wDgu2dtZDaEv/P9agrxLhxWev8NXbR+ijJX/tmRf4j8qvce7c3167d8qv/cY9vvfbnkEbw7K2B37MF4azRcO81Fw5mLI/GXP7+JwHsyVPX9mzQbTctvosy1BpwsvFhFdvP+DrZ0s+8tLznJ2d8+69GZ87X6DfeJ27x2dM8pSPXr/Ob9x9wEnZOC3F8qx13fDm3Tt8+LmbXN8fhQXeSZFQNxqFjQkjyZjzsqLUAtI9JyCEIkA6gN3XzIGOOF/RaPwagc9HWg2pa3m7MBB+UdRo5rXhc68f86U3T7i6n/HNH7rMs9OC7HTBi9mYSeNKK26XbFq5uDMOpLKMNMsRlWMko9bC/GTB/Qen7O9NGI9yZoszyrLm6tUDG5BMMt69e8Rkb5+rN29y+hsPqR/e44/9iT/Ad3z7y7z++lvcu/suL7zwNM88/ywnxw/ZO9zjwx/7BIvzU85PHpIXI2bziq+9+iZvvnmLg/2CZWV4984xx7OCmpRZaVgsLKBXZQnGAlKSJhSjEUopFvM5y8XSgrpbkGxcnJo+XdCuh7SeQ2lq6Zfabbf3neVDeBvHzYcnAyI6+BUfGyglzfLwztFohNaa2Wzmzvh1jgFAqlKqqgoeT6F8/aGygu6EtaIA8ZHQGbApoxq177FeQjXaa/x+LSMa2cadO+zBya39kwhM85xRnjIej0hcrRbuxDE7RtvNf1ZRa9ePfHkbbZgtl87Sb91j49SfJ4kSiixhMV/QpIbRJKNcNNDUXNkf0zh/+6Zc8OKz1zg6OeVwnHP5cBpcJ8e54tL+xI0Ha/WIsmFClLPcEgW5SshTbfdOuHoZugH0wO7nyfOc1O3dWCyX1LUJVCy4M4mV0DRQV407o8ONL2MiMTucHmvQF6WYHk74xMee4ef/1Wv85NktjrALurVo5o3m7//iq9x5MGeU2MiOVkMwNu67gUoL4zzn6HzBV9+5z/5kwnSSkWUjRuMJ070pk4MpH71ynfN0jy987nP8wSvfS56dUp2+y2m9ZDZfsNCKelFx7+ycK/t7/OYb79IYG48/FWFkDC+Pp6SLmm9+5jq/+OpbnJYlV/b2yVK7IWtZaRIlXB4X3DkvQx2Dt4DXvAc0qwD8gR+woz1oLp2boTv5xfHj3oW0fZ8dSC5ssWApHoRSw63jittfuEMiMM4SPvxwybedVbxwY5+DUU5ZGZR3jxTrPihJSj4ak+XWl1kbTZbnjCcTG8qgcT7tKnF0UsLJrOazn3+FX/3cqzz/3CukpiQTw5de+SovvPgRnrl5me/5vk9x+dmXefqFT3D7zS+xnN3hw9/y/Zwfv8urn/2n3Hj6Oleu3+A7P/VJHj484fOf+xK//qWvcPnSHstGWMyX3Lt/wqtv3GNWl4i2kzPPc1K3+Hl+fhZi8dujKN0OW7260SfQOti1HetTbR0OjNYot4vYh872bR8ALHDZrQUHgBOcSiXWM8jFCFosFiwWi5a2cA94z53Yz39l9MSo79A9rBqJhOsdA6Q3Dv3HUO9I6Fgtwu7MNXZFu/XcwYLe3rgg8Vq6eNC2YzNNnCeVIXi/jPMEC0/GSUYJxRVnxnoKyfeX3e/QDK6btPVoReFsseThyRmZEsqlRkzDU5f3OJjYNb2rly6zXC4ZFwWjIuOpSxOKwoYZB4s1IkLa+CiZhkqcd1mW2iMxXSRa8duViYA+Glch2FoI3ueFQkKaxsHY4n6QcE5D5zdRbEqPNeiDkIxyPvldH+N+k/DPP/MKL33kWcydY+4enVHVhneP53z+rQe8eHnPLXI4Pn/Z8PB0Ttlo5tp6Ar374JRX37rFjf0JWWp3XaZ5xtWnr/EtV6/zfd/3Pfza577Ag1nFSx/5KOdnJcdHc+ra5ltpw9ePThmNRqgk5c7xHEFIBPazlNdlwdfePuJjH36eg3HBnfM51w+m7I8yRqIwpsRo+MjlA5bmhON5jTfj20HtzNaeQha0dnc91tY7t8Vg7zkef/hIYgeipXQ88Kv2YBBnHcTiwgA1cFYZXrl1zlfvzDgY2Qnw1MGYKwcTtCqYTKbs7U8pRhNEJWGRWiUpeZa5k7mc10yiSLMclaSkaUZejOx+h4XhS6++wyhXTHJFnhpOX3mFq5f2ePjgDt/+abjz1lc4fXiLannG2YP7nJweY/SSsrrCsqwoxjk3bt7gDz/9NN/1qd/Nl774Zb7wxS9zfL/k5vNTPnpZ+PXXj3jj3pylSUAUs9nMuTi2PL1gNX3viTLk7mfD5dp+MW4B0x6i7lz3tI19niYmLK4qT48lysVesvkp5fpH3NkCxjAa2dPLTk9PW3/+EF+/dVtdLpdRj7XnMbTXujyvYCmVlkSUEOcoyAVpQ3ODOArPaubWc8renySKy/tjEnE7fgMf3+4HSBPFOBtZKhQvUFuLotHG9l1RuMZ1h01IVGCwwClRDCnd9k1w0NjAbMSCW0SoNZzNFty8esBTlyYcTHOmo4Li6j5ZmrA3HbE/HdlxLCCmIYn2XFR17cJK2/ap6sb1kwd2u0O7bipGeUEyb6BuWpoVv35nAOXq02728k4Hcc/ZzaCtDbUiDNi+jvNYg35ZVtx59y4vXsv5/d//Yd6+c5sf/rf/FD/1j36F//dffj5sXX/7wTE3J2OmmZAAGKdFacO0yNhPhVmTcevknNvHM27s7ZFJSioJ83nFg/snnJ2e8eLzL/DN3/zN/NzPfwb9ew2vvXWL179+m+PzGVVt/XNHqfD8tcvcuHTIvbMFlfPcWBq4X1a8NDkgX2o+fP0qX3jrNq/dO+bjT19hlCXWF7xquHF4iGQ5v/LmbQxJ4OZsahe5VpLXrvyiDtG86Glifl2gpYvs4lJTV/gDZnycm/Av4hpDWSR8wiA0Bo4XhrO7C9562DAZWZ/8NBujXQz5qskQGZPm9uhBG9XBB5pLbBTL1C3giTtecTRGa6Gpa+ZLw2xRIqK5ZBIqmTOZHvOv/sX/R92bxViWXWd63x7OcOd7Y8rIeaossiaSKk4aSFFNSdYAtVoSrW6hbcMNATZgvxjwk/3iRxto+8FtGUYbbvSLhZZlyLKsoaU2pG5SoiSKxSKrisWaKyvnjDlu3OmMe28/7HPOvZGVVaTfihvIjIjMiBvnnmHttf71r///KlEoWBt2yfOCd46PEUHEcGMdEBRZXk3KFgQ6oD/s8+Nf+AxP3LjCy99+mTde/R4qVHz+uXP8eNDm717f4Xs3dymrQataP8dXXhUcUcMuS9yjOT9ePsGQZQXO2YonraoHUVRZrkQKB1rjnCXQknYU0GkF1MNNYRjSardY5JbDkwVWKkAymUxIkrRqlPpqoY6FQngBuWIFRjqNl59eDYYuaophgK6gJqh0oqrPra2w4SqbrJuIWgpGnRaRXso9CKAdB9jq/BkrloYx1blrMvLmOCtIDK+/lOQlhTEsp9vrzIZlMVJ9Ye1yw63fs4XTjKHvs1arjNI6jiczzgzbaClpRYGXNBBeTqE+l0EcEceevlsWJXlRkCQ5eTWnUW84Nd1TCEEYBGjl0EqD8k19a1dAr1PP6rKCXAb81YE+SdOtqc5r7Zi1OpEO/HDDO6WxHC0Stntz+p8Y0nm5x2//n3/Onbt7vuOuFLlzTPOSw0XKaGOAqG4kg6Dbidja6PD8Jy8xL+Ff/dlLTNKc3MFGO8ICaZLRCWP6o3UGgzX+g//wP+K/+q//G15+9W2S6ZS9WcLxNGlK2VhL1HjKmdGAQTvmcJbhEBTOY5sHRcnB7i6XL57nbmfCJMk5yUpaUUAcheQUWGc41+0wiiOOMq8YWT8Gy0heY5bLIRe/XHUspyduT312Kmv3r1xPZS6ZAKfhJCkF0tXZp8CHgar6YNk88xmpbyQZJNPMIaUXXzPWY42hDhh0W1hqhUt/YHVmq1aGubxkcUBeGNLEQytRFOJQCKmZpqC0w6IpSkdRZAx7bY8fC42XeJbkpUSEQzrtHrN77zE+3EEpQbffY/vsJlu/8DM8/+kf4dWXX+XFb77EZO8BV0YBt1VJKioc2JgV2Qf3SAyxTWZc2zJmuR/iqt9jk3UiKgE+f0W0FLTbEZFSDNohl7e6fPzGJjpQHE/nbG2uEQaa772zxysPIvaO5hwdHZNlOdZYmoiykvyGYeAljR/pMTy66nMPIJwjkBAICDFIBM4KUuvZaEu7viVluA74pjRY46Ad+Z9rgrr/v/HJlDSz5EZgirKCxJaJhTGlL/2aStVnNrmxLPISLUVF91y51VeW1756ZPCNSgFd0ATT5vtPPRWnz4cUq+dKsMgNe8dTLm+PCEPtn5oaSgLiKCIIAowxZFlGkvkZElOfG2P8MF8FU9X3h3BgTIkpLVJ4HR5nwQnX6HitspJq5p4QS/mM5lzVlZNYVuKeRPCY7P6HGd6xQC4VqjNgmkp+6guf43/77/6EOIjo90LMZOY1LZzj3smUy2t9WoFC4lClpHCO793a4c7BCToMvdAXcH884exaH4FjkaVsxzGD4Rrb589zLmjzhS9+kT/9kz/2w1d5UWnN1403yfEio9cp2Bz0OElySusbdJlzHJUlN9o94tzx5PYmL753n+N5xvawQyvUCAezeYIWBaMo5CRbUGeFjVhCnXTV2Ytz1dmoQ/ESG4YVSKj6EUSF6wk/02CcozAlIi8wlWaQrnFFnG9Ga9/IlUoh8ROmtWJgjcHWscc6iZAaqbyOvLW20tIJiKIWnXbM+a0OzpXkhSXNDVnusU1nLTiJVLIJCKUxLBYZRelvau0q9gve1lKqAItkMs+YjI/ZHPUBCEJNq9fl6pPPcf7GF5BBH4ElPBozPtrxLJz5gqKYsLuzz+HhMUmScTJd8Ma7DwilYrvfYp7kzJOycVJ7FLf3vHhPL/QibJX5eW2E46/CqW3Z2zpCndbJqlaKQ8Uzz1zkF371F+kM1rj52gtsX7hIb3SWza99lbd+76+ZjMfkeV5ls49uPj7gL8XZHg36dXmylGn29w30WgF/b3ubZzptRqGXlf7bgxP+zYN7WPxEtsNrwQhACwiVJFSK4zSncNWAm5A4sQxUly9fRumIOHbYzGCcQJUWqTRBEBKEIVlSesy+PkThiQ3ectPDIA0NU4hT8KZvE7imgqjhnAbYqNLf1SBf/3wDcVK/9Gljovr6OgHdVoySDmuchyAr+qaosv5aKdM5yIuSoqznLlwFn8rGutP/jpoZJpoN0Lri1JE+DoqpJ81XTeqtrWSxqfshy+GwZu56JSn4sPWRDvppYfjWW3uM/zSiNRD8/M/+DE9cu8Lbb9/CWYeWikB74+7jtODm0ZTz/TZxqAi0QGCJQs32mTX2x3PiUIMQ7E7nLMqSUbdFYR2vv/4Wn//cZzi8f4c4lvzE85f5t/+vZq3d4vz2BjsnU/ZmKWnhqVNFaTiYLjgz6NNrRZwkBQiJRbIwlqOi5HBvj0sXz9NvtZimBaWFOApQCC/K5Bxnhz0O04zCymaH9wG9vmk9Rrxyi/iyXkoCKdFVsF8OvuBljytKqxMSg9cqKq3HlZcNOtHgqn4gSeK01wiPouXwjw/yyylmoTRahwipMdb4TFSACjRR7KdblXR0OxKFojSS0vgsPclK0syrEQaBqprYdZYmEMrLGxt81aQD3xhO8pK9oxOEsxSZpTSSSM+4euFN+lufY/vqx5HhEFAU6Zj9nTtVA03R655F5CXHR+9w+533uHL9Y8SB4h//xq9xcrCLbq3zz/7F774Pt2/ohdJXJmHgJT/qyde6GVtn+TWFEGqOuFpCbkJQ4jyEohT99TXOP/WjtDoDDndvcfbJzzPYfILtW3cpsz9vjE78Wpb+QoCu5ySSojrO6ruEQMgKpnFgBZUFqD+IUEue3F6n11UMA8Uo0BykGd8+3AF8M7UsHYEUdMOAodZcidqMVIh1jm/JYw6LHC3ryW5/VKFWrK2tEYUhFkvgBBaBKspK7kLRdA5Od4opS0tarAjN1Rl4nb07530A6ux+5f0+6o5WCw4KAdLVm8dqNKmrZoET1oucsTTdccY21xGWfsGlsZXfwhK6UVqhrCWslFhrnr21HucHP0sBoJUlt+VSquIxcW713jvN5nl89YZzDYvJVXu8nwV31Yb8Q5zpF6Xh7n6CfXcKNuHGpQN6vR7TeUKg/ci9UsqbT1vHe0dTFsaw2Y24fmbEl564yJ2dXQokpXX02iEbcYub93e5N56wvTXyF9AIXvrzr5Ldf5nPfuks17Ykz35sk7fe3OHjZ4ZEuocKJbvjBRYf9CdJTreVM+x1mGcTrBA4IUmN47AoOd9u47KSixtrvPVwj1lacn6k0JFgEQWUhWWj2+FsmrE3SRuaW5PxC5qAfirA4DnNGolqKgQQzpu5OOf1h0z1AlJIrPY3vHEgdWUGYkzFmqCBg6RSqECj9HJ4jCq7kBWF0EsKL9X+lPayBzVmHwaSONQ4U4L0tDXpLNIZWoGkE/tJ21BXOiHSbzBSa4yBvCzRQYwKFE74iUeNZJ56Ncw47pDkFlsqjo6GxN3b2PQOqn0VkOgwZOvsWcLoCUbbTyNUiyAdkyYFDx885OGDh/R7AYcH95lPF9x64w4IP4WZ196l1ZOplCQMFNZY8srWrllV1PMl9zK41n3WVYjZWEuaF4SBYl5Y9vZO+Ls//V2UhMl4n9n4mFCHfOMvX+BkmjbwW4XcNpmqqjLJJPGN29NZYhUkquCnEFWW6iuUSEuiMGCSF4xtSV4YXjg8JDWG87FmEAUM2i3enswJg4BACnZEzgOXYaxDtwK22uEyCFVJSlla7t1/yIVLlzDWa2PlRaUdXzdO8Xm4tcsc1+GTOmNdwzNfTqO7qpKpTXCofK1p3ne9CdTVQc3YqZ8Vf++L+iJh3XKjaCvJLz8x5Kc/f4Xx7phX3zvizPYWx7bAGK9eWdMq/R7kmW/OLqU8tNLg/OZsbG1yvhQCrHsOUktE6aGr2nO62aoegXbq46+TvSgKq/fgf7+PETQqtPXm6RyNi5wTDsdSpuNx6yMd9B1UBtuOnYfH/I+/9TuenWPBOS9oZitgUQhJZhwHi4JFaTlc5JybpFhbMl5kzJKcUa/D+nDI/YNjbu4esbY24KQwYGEnO+BHP5YzC0rmJuSpT/Z58dW7vPRgl/MbPaSCbisgyS0LfEMpyws67TbtOGKelRUmCol1zEtHdnDMmbObtKOQnfGMa1sDWoGi044YTxbkec6oFXM4TZqsu36YPJ+nbp/WA1TLm8Y4W2HHp7OBemMIKg15pEBq7eFUIYiimPF04uUJ8H0TR3VzOl82BmFE1GqhdEBpPZyjgxAQ5FmKKQt0UME7znmIzRQIPMfcGMt8PicQpnlfDlA6JNC+lA4CidZVlqQlQaixuUUHEVEcUZalpyiakn67hwxj0qwgSRPmucOGLR5MNjh6N+AkfYmPPz+kNbqKLY8YDeeEvacQqgs4Jof3uXv7NpPpAoej2+ty5+ED9vaO2TtOKK2vi7X0jT0n8Rr8zpFnuW/oNRXSctXvtw5u3tXLf29pDQrp8W8ETkp0FJMLxXffvE++yAhDxe7hMcJ+j0EccX93ynSRr/g21JlvFd6EJM/zJmqcnlLFT8JWcrx1+Kx57s7B8WxBt93iIPV89rvJnH9wcZufvdjm/EZMLjT/5dfe5Sj399aqJXQ93X+6IhKVU1dAmpdYJ5eCec5DXFppn/Er6T0MqiTCOEtWlr5KrDJoql5BI2pWCdjVv62ePK2bnau0RctyIwgC6VEApcF5OmtuTCOlMYxCrp0ZsnCSw6QktbA/S3nl3gHPXL9IFMqmqd9MPNdyJTWk4ipTGvwch7Gmqg6WBvN2WUr76WxZUDe2T1eJyxOtdYCrqJ5BEJy6t4qi8NVVELCcvcH3CaRnxllYwl4fsD7SQR+8FvnDhzseiwZA4ISjdBZRvTshKj3qIKR0klkOqXEkBwviUCOERseSWV5w88FDlNZkec43Xn+Pspp0LFTG9GibcSzYGR9R5CmdTov9SYYOAiIliLUCp5iI0mddYUxRGtpxzDydI4RCKCgcTI1hKwihMGwP+9zZO2T3ZM61rT7tVkiSFiRZTiAl7UAxSYqG0raavdfBn0cCjqkbZXhzkeUUr/8+WWPMzmeI0jlcZcMnpfRBSAeEUYiuqKvOSXQUMep3ePKpp1nfPMPu4ZiDw7HnXhtPH8xzL0VcliV5uvAS10ITt9u0O32Uck0FISrqmv+H0pf7onKpUvWDBGtrPcLQyx/kecF0NsdaSdhp0+31mMxzsjyn12kxzxxCQScI6Y3W2Ng6h917m5O99zhJjnDuLbavD4hGGyAkveEA42Bv75gkzSntEYfHM4yFaVJ4iefKVDqsmnB5njc0ycetGhKrqXkN7GD99fAx2MNiXiQrRirJZJawryXhgxMm0xkPDo7RQnB+0CcrLVleK4ye+mXgvA0lzbV+Px68nE6tb5fq+6wP4nlpOUkyZioiNSVn4pB///qIy+ccKrTcP0l80HX+ej62o1qtevhqfW2NrTObSB165g6S0lGpp9rKatInCKaiMyI8bAK+ye2VIn1vp6g8FKh6UQ2sY12j62ProM/KhlefJgeZKckowWXNe1jOFQh2kpx/+vWbuL+6WVVqEKgTzq61Mc41InZ1tq6rSWhbia1RPVd+y5EUZVkJBJrmnlFKVc5xFZXX1Vx9mvulYdiJ1f7c8rqpRhzQp01KaYy1lKZsoNGmj1dtgP6e/CHO9KF6cKpM67TMMKcCoXWOPPfYusDj512p/fBVK0Rr/4DWJW+906a510Z3Rc4L34HR9xYEypHnEbEOmdiCg6MF26Mua4MeQVpyuMgx1rF/MkNLSa/bJY5CTFo0D3tiDElpODg+YbA2IAwC7hxMObfWJZCCUCuy3CAlbA+7LLKjpdXiqVWX04+yE1zTGHNuhee/8h2NoUVlPShkzc7xXrX1BG0YR/RHa+ioDd0ter0+/8lv/ibXrl/n7156lT/6kz9jczRkY22NOw/3ePfmbeaTCa4syGLthcqk4NqT1xmdWaMlThDyBCPaWDSSHCEmTQnv5NKgHPxYebfb9n65piSUmn53nagVU5Yli8UCJzRR7Bk9WWkQi4Kh7RFGAYGFoz/9WzZ+7udYv/Yp3nlJMX7xFS4+1aY7PMP9d1/j+OAALSXPPP0MX/7FX+Wf/rf/PYfjE0TVX0AKKAVZlje4PSzvk9O33RKjXl6uGpNdZmZK+421DiJC+L7F/njG0fEJRWHIi5JQCiKxwDiWw0Wr2T4rX664qL3vuOo/dQCp+kOyuv55WZJJgQgV0hR8tjdkvQyxuw4rBXv7Cc6JimYrvffzB2x6dQC9cP5LzsrwAAAgAElEQVQso0GX6SKncF46odYlyouCsiya6WYPFVbHJ7zMipS+RyWoZCwqGAOoKshloD8N7zSPxepB4apeQHOUjxy+w1GYJbNKVlBqKwp4+tpFhr223zTDkNL47F1rXcEn/jXK0jRNXAENq6iuVFz1rIGXgS9KX/XVTd9HfWyddejQ9wcEnDIOqmFfa2GeZMwXCdmKoJ6n7ioCrYnDkE4rQoc/5EG/Xk1J5L+iad5UXwsnsMLXOr589PiwVJIoCitfVE/zDAJJEHrDgrqES5Oc93an3CwtnXYbFbQZbZ6DYEKRLRA6ZJ4ZDiYzpPDiY2lhURKCvCSOApLc62wgBKWDeWkIdYC0js3BgJ3jY3bGC84NWkShIiskWWHpxJpeK2KyKBpLNAQ4W0k3VLt4/V7rr3wu5SN9o+29kv3UsIoUvhEplKqapXXWolBS0Wp3uPHMc1x58mnag01e++6rLNKU+/fvc7C/w4WzG/z6L/8Sly5d5IVXXuN//53f49yZNbY21tk/Oub+w12wjuHGGTrrW0RlRBiVzJNNSjtCuTmd+G2UNohAeXgOVz1QqmEnlLYkUJrh+hpRHHmLxSL316OSUnYmoyxSUArnvDbOzp2HmDt7dA5OWHtmjY8//6PYskDG6xzuP+Dh/XtoHSKl4Nr1Gzz5zCe4cuUKJ9/9LgLQ0tNEjx8eNINRH5RFr27Ky42BRixL66iZju20216czZSEYYgxhiRJvIBbtWEHUtOJY4IwoswKtFQ4agOZGhN3y/7Byqqx4xomqKGC+uckPrmoYShRMbqstWwpxcdURDI26MhLUNwI21wJj3glS6uGKKcSq1PDTVVjdGd3BxUEZEZQWD91XpQGU7Fd6oy+vmfr4wu0wNgCIagwcXBWV72QJaZvKy2ZGtap721/SlbveJqK4HHB/tElqmZvoD03f6PfYq3vpRecFKRpznyxYDDoY631onlFwZLW6qm7AMLaSgG1MqSvTpt1vo+RZDndoNZQcs05rdlWjmUPof7cVpWNMYZFmrN36NV7bc1RrTatZjajgsm6rYi1teGHvvcfkqB/uqNdB8Dl/VjfVKcfElud/YZ+pSRKK4QSWOGzY4P3azUOdBTz3Oef5+d/6Vc4c+4iu7t7/Os//iNe+84LlOkCgeBMe0BROdski5Q8L3CuapYF2pt8VBtUAV4KoijpxxH7QvLOwzHJPOHqmTWi0JLlKc5aBp0W86xseMf1ndxkBatVQHXB60e73gCbH3WuEmeq8R9vuuGE5zo3MIBSqDCg2+/zxMee4rnnP8N4kvLt9Ft844VvoqTCOEe3FbG3t0uWJdy6+Taba21+5ks/yac/9SleeeNtfu8P/pjtjXVuXL3GfJ6QHBzSikNKF+OyEEVJEIYoVWKFoLZm1JWEg8RwZr1LK45JkpLSWWaTKUrXfQMPv0iXc26zj8RgTQHON/vv3XvIyFrSo0OKdIIUFpfMCUc3OHvlLBtnr/H6G+8h3rlNp9cnbMU4V/oNWwlMaQhU5P2YnTjVXHEr5+t9VZjzeuadVsxknvpGc6BRrYjSWi+r3YoxxnIynflKtIIZJJXQni0ZzxaY0lBYn/mL+uquVnfidPZfPw/L41ri9wLP3InCoDJ2X2oHKakosTzfHnE1bvPu9JjRNKWnFYPhAE01afy+ivM0nl/DIgJBlqYYNMZJBNUzVvhn1jqPd9fBTla+sUv4xFXVKhTeSq1qjq5YMK48EO6Rf1vdDJbrdCb96KrhUgF02zFboz69aMnmwXl7zXqjhgpCFt4W1J93yalhKwF5kXu5YyWxxve66qqnhqyac1d9lBU+k2eZrw6cwFjjVVmrXtPe4ZjJPFuWSLC8R5vXE5TOkRYlWf546816/RAE/cfDG4+lMq2sepBIq1oTRiKUQKha1RIK6yhLS5FbjBV8+nOf4z/9z/8Lts6cw5g5ly+f49rHnuSf/9Zv8eZ3XkA2Kbggz3Km4wnOLHHfThxXXO/KSMP4nXqeZgTW0o0jxtMZ+8JyZduPmkslKY0lUpJWGDBLC2qqJBX+uQzwLD8XS7tEf3qWNVBT6AtBLcGA8JLUpfEZvg4EQmp0EBPGbYajEZ1OhwcPDti/9xBXlgRRhNQBSkq+Pjmh22tRWsuZUY88mXHz5jvcu/MeZzYG/KNf+/tcvHCBF158mVf2XyeOQpLMw2mBhCAMkBJKLGGkCUKN0j6gd1oRl85vIzGk84SHD48owoCstKSZN1RZzOdEsuTCmR5KCsazhIEbIIXEFDn6+AR3eIByKbbMWLz0IsHwEqp/AR31kSqiKAru33mPW2++yu7uw0qX3AefQECnFTJbFDjhdZzgdFOsDrLNlZCSfrtNr9NmtsgItCKM/BCPxBGGmkAJhLV0QkkvboEQ1QRvnb37hkJSZl78Tji8V7yodIpO3/Pvr0BoYpySyx5JFAYEWtHr9ZgvFuRpihC+7D8sMv4i3+Fw3uGV7JCfjNZ5qtvFlQbRMGYe8fp93DE42N/d5/zZLdY2Njle5BRGNmZB1jiKyFdj1hSY0hu1W2spK5cvIcDVXPhKKK2ZSq1vZeoMfuVarFyTD7o+H/rv1ablNzhHUMlXS1ltbNWzkk5nhEFAp9NBB97xrCgNQvimaS3bUVcnNbzjnPOwjZK0ohBVVePgKCvfBmttNftB46iGEJjcb5JFBS+5Fdz2cffA6nu0j6kIH10f+aDvmh3t++zeq9mY89NqWutq5N+zB6T2wb9uIErrqhMOw7URv/QrX2HzzDl8Rz5DK83m2hq/8Mu/ws7du5SLE5y1lIXBJJYncnh2ESJCwQNpeUsVdOKIVAty63fbsix9OS8FUSui32kRSy8IV1ivTYMp0NIx6rZJ8gkrirLNx+VQRqX9sXIT1xe8gbsEOOGbtXVUUErhSuu53EqDcOgwptXt0en1CIKAxWLB/v4hd95+z1P8oriCm0rUxW0G/QteB1wKbt+5yd17dyidoj9a5zuvv82dB3vcvHkb4xRRFNLv5rRaE7BZpXUkMQJ0qGnFoQ+SYVjJBaeELuXHP3kJ8cmzJK7NG6++wc7BjAe7GSrAC5kJP5zU7bR9UNWSVidCYVl852XGl7fpXjtH/tYbTKN/x+Bn/uHK/ie4dfNtDn73iOOjo0YcLRCO60FMFgUUmd90e3GLJC85SXKMe0zArx7grCiISs+0qCcxlVIEQaV8mftqYHtzxKDfpdPp4JwljkPCUCOlrzSSWQKlYPdgzNF0Riw0e9MZuxMvJV7xUwgCVenO1A93LWomKxMVR6iUtxits+YKGxfCB5c2moEOsQa+PDjHU1GXCIsoLR0pq6G4ZdNSnHrPp5c1lo1hn/6gy6KY+j6Acc3ktta6gj6EN8MpS8/wsgbrDJKlp6uXofabwuNUMk/HhNWvXXN8j9sEGrirgmbqfgR4Bt5kkRIHgtl8Qa8dNAODYAkCTxVuNKsaZEU04nxaKwTS+1JLUTWvvddtnuXowOCQnmpZbezUx1W9YPN5fZ5dBdG6929s3299v2/5iAf9R0vq9+OLq1+HYVjd6BDFLS/9GwSowGPHnmboh4KaZpyyqCDk+pNP8sSTT1FDSUGwUZXEghs3bnDhylV2b72FLUsKMoJA81NFm+eso/fpbZJszpsv7nJmFPPmZMHcOXpBwH1jaAUt5kqyH0qOWoXHAHPnRai0QwhF4CBoCQpjmWeFp76ZpWTC8lxUDe36yjapXj0xXGULQlYVjcMZ5we6Qo+ZljZHKEnU6qACb/gdxTHWCfaPxmSFr1KsTQgUhEp4vn0jaQu+tHaErRbXnvsseWHQgaS/uYlNjxBql0G/xDu3CUzZRUo/VWmcIQoif43CEGcsnVZMN25jiwUXPvlT7L/7Mj/+409hsikHD++zs3PCvb05qpzjREAgHXGoiSON3l5HDtrkh0fM/vJrpC+3mb5+G9PfYFBOQIZkacpkMmcymWNu3SMMZDU4ZggUXIgiyrU+11ttLrUjfuof/hIv3bzPv/z9P2WcZDjkqYeyqaikp7WCD1ph4OcY0iTHGoMUkKYwn2fs7vvm7SxJVmQtKqjNOfpRRCAlszQlbncJjcFZ45Gm6t63xlJPYPurQNMgFzhirWnHFb22KJhPpw091xhLkueIMKZwho4MuBLGhFikA1tYQierBqXfUHzcP02gOM0e8oHVixDOkcYhhfPqoIFBFr7vUBRlE/QFNJTHBo7E+03kRVkxbSr4xi2ZUKebt+59x7O6Ht2kpZDedNyaZVB0kOSGB/tj8izlY5e2iKMI8Hx8XbGKoBrIUgoTaC/VUE1mCylpx94gJcsyTPW+gIasIHNPw5WZqc6NauidQpxOWOve5Qe9j++3fhDzmI940P+gkvb9+KoSsmqC+ZvEN24DwsgHNR14k2yf9avmdb3LkOTchQvEcfvUa9aASTuO2T5/lsnubcrMIazX4R9hwJZMv3mf4c9scU07hj/RI/jaHBkG9J8YML95xOZXrpIdFNz75iFf21twLdRcvzTi8CDlG0mCc5pSCiaBYLS5jlCaMtSk1rBIMj/BWxqyoiDPS/LcN8h8RrTCIJGiyTicEE2Tl0rBsbQO6wQqjKtz6FkdshIJSNOc48mUVismSVPSrGDUDqssXTc+BAi/cSI1UatNGLdodUPODGLW+h1eWxySpjt025pL156lP9xk7+73MGaBc44kTen3hmgd0Yoiup02wlk+9olPsRWNafU3abc1vXNPc3TrFW589seJv/3XfO7LX2T3nTcQUZ87797EzA6YHkCr1ebo0giRLTi8uYMoDApB9vCAM+kBMvTy1q1YMR4npJWpO3huPkoSWUs/UGzpgB9pdbi6vc7bDx5wbWvINC+QYcjthwdkpf85JfGuRqZkkVSzDlJSFl6DXTWTlZXkrvObZlE6Sltld84hDBXDBuIw5ky/x8l8xna7y/nROns3bzLPi7qL9Ujmt6QySAHdOKIVBt7GL/OsmXogqaaCSyEYZymFgE+31zlMM44RLMqMXev4ZjKp9G98mrni83Iq2K8+k8aYamBIoLQkcJKgLBFp3sgX1I3KunEfVolXVond+elnWUEujxnEco/PYFeD4uoxPRofasjFn0X/V90PKJ0jK63XRwo9VTUIAg+JVsemtBdVKwpDFIVN9u/Prap49RrlPLvH2MqnuJZTYEnxVaslfNOwr016VnB76l7CDx70/Xv98PWRD/pw+gI+tqFGhYlJ2VyIenhDakXYioniiCiKPLas/OCSrbT3pZDErXaTeVhrvU5GJTEghKDViml1YnLpH4RuaOgPSvpfGHLyzYfkOwk40D2FFqBbkrCnKEcS4RLy1464/MkhP/snJ5z7tQuEmzEXTyxb/+pd+p/YQHZaHHxrj6KrsVJxqxB8tx9xIgRrsWIWgVGeA52XtvroFR6z3MsbFMaSl4a8rKYYrcUiETrAonAVgdtZ7x1rrPEZkFYYa8nynDTLCFsxC+OndqNAEQeCVhQQhhEy9BIMQipkEBD1+iRJQhQLtGhxbr3L5NyI8e0QoSO2Lj+F1jF5Oma4eQEhJcc779DqdHHGsr1wCNlmfrKPdnOky8AVaGVRIkGyoNx9HW0TApHSG22w/sSn6XU1RTKHqM/uu28hO5bFx7d5584Ji3FC7ODZXoc8maCdY2ujxZe//CnefPM+L796m6zICcLaUNqgjMMJS1cooqzku3/2F9xPZrRDyfOffJov/8KX+X/+rz/keJbz0pu3OTNs8/c+e4PbDw743nsH7IwTb3xdN2NUHZAA/D3jjG1Eulaz5zoY1ddA4mgHAbeOjz0DTTTdJOpZ6ShQVUAxKCGq66Qr7HjJMHl0QrQdhbSMoyUFmRD8wfQhMxwjFYAKmVVHVmfjYjkQ3FSXq41IC55CqzxZQCGQpqQ0ptEPWoJQvC+Yn4JyVvpSy2D/fumCxwX3D8tum/PrbFNh2UfkncNQE0cBURR4uExrH6grppujhmo91l8UZXNejakH+Jbqo7BMVnXlJheFftNzZjnH4jczH/zrmGWrEsBVHxvp9ZX3vHoNTsXD74/+fLSDfl36fPD/L8vt2nyhLoXLsqAoJSrQdId9Or0ucSv2WudKeTpVdRERgjTPKMsSrSRFXhBGIVL5XTfPc4oyo9PvESiJRtDPHK31hM5n2sj182R3T/wJl8KbIyiwhUGEknKckd9eEJ/r0b/agsLw5r94m14rRhpL61zI8XePkGnG9a+cpZwYLhyVZG/OGCcFP9tr8/a9E1poZpHABoqkF3G772GcTEqwELU7JJ2YzDoWheHoZM7JdOHhB6lZJAlJklIUGQLf5I5bcXVjO8osZ3xywv58ghACFUhaytHR0O1ERN0uQdz2rBqtCaM2YWfIdJH4hvggotONef4Tz/Li9CaumPLad75OHCo2zpwn7J7DlimDrSeIumfIkjHX+5e5+jT87Z/9DvnJQxZRSbCxjzQ587vfYv/WXWQ+o8hz0nlCkmQIM6O/sYZJI7qXfww3fouiKzBywtOfSjjY7/BgV7H5/FW/wRVzwsAxWuuzvjam3w/pdCNarZjxeM7UltyMU/q9FiIXzBLH7njGpEhBQK/bxjpDlix4+uolzq33aKmEn//Ja6ytfYZb947457/z1/zly7f80JxzWF2bVq9ouqxk6dVe4P9aCVy5MeSV5vo0zf3UtajpuKDwNMPNUZ9A+KEfDylRDQmVeI1ZP1VcJ0F1TwOgG0aQJ+Su5NPtNa7EPc7FbXZNyRtZxjxLqemdjioJgkqJk+pY/UcLJHmOrrBvV8kOn1YA9ZVNaQx5lp+CNJoMvsm8VzaEZjN4P7b9YetxkEjNNvK/qsLM65AvXONhK4Sfxk3z1FchzXSxJM8LrwJQHUcUhgRaNxsA+KpHSLGsEKpZFKU1QUnFiLPNLEZ9futz6hvAKzaRK1j/49b7Kxo+tB8CH/Gg/+haDfL1x/qPvzhFY/+XZSlRIAjjkM3tM3QGA4IwrNQPZYVxGr/r4kiLnKPxIVubZwmjEIfBlAVShewdHJBlCzr9NlpaNJbOoiQIBdn9Ccf/+j5bv36d7M2Zf73SIrTApAbVCgivdBj9asTsrw6Iz3VYvDUl0gFyLaQ4XmBSS3KYUjiPpZ78xV16nz1L3zhCJ1j7dJun/m5Ca6NL+nCOakP3C33e+/M9ojRkp0jZuNih04KXZcDt7T6FUJwpHJ3ekGee+xR37t3jnbdfZzadMp0tPMxQGrQGKR1pkpCWGe04ZH19yHw+YxAHDEMYthSDQZf+aEjU6voJSx0StduoqMverQcUeU5Z9AiDPk4KkszhipK7915na2NEFGmUfBHhHO3BGaz1OvzOCd574yVODnbZS1IeFgs6t/coFlOO9sfMxnMunu8SRRqh22QnDzCzHdziwG/25Gyd2+D27TF37ge0jmE0eMgnnvJKqCwSptl5smROux3R7rbY2hiQFWXVS1DEYZfe5oB+J0Z1BiTDbfbevsXRnSNKY8iSOQ9uv8drtw548/4JgbT80k88QZamlGXK5ijg7FoLWG0qyqaJWjtGLdswp6vVOghaIDeWsoIzapVHqKmYzRQGWZKwvbVGN9IkWUqSe3aMlP7nbFaAqTJGIWi3IrSS7J9M2BqusSFDPts7wzcWu3x1us+VpM2rJmEvTzHWw1dQ6dXUDk8VRAOiClxUhkWF32AqExFrTCUtXTcp6+zUy1yI5j2zzP+rc9Vo8VdrNX59EHb/QXHi0f+vK5NaTbReSkhaUcxi4Q3Op9O5F1orTQPb1E36WuOnll9QbrXX5SEaLM2mJ4TwipyLhEVmSfOc0tIkmx/WhG5e9//He65ZQx+2PvJB//2Mifd/rE+C57h77q8QvvkShAH94YBWr4/SddD3N2BjnGH8YNDLr77ET31xw8MXSJABaVHwxhvfRSmDjEOEa6GcIxinXnK5dOitNrQEBAoRKtQwIL7cwU0NKg4wiwI90pTTnFh0oLT0+prtXzvHg/91jgw1m1e2mbz2EBFL4mcGlMIxixRdqwiuajZvXGD/D/dRoxDdcnSeizl3t4V9xxHPYePHNjALwZVbJXeF8s1hLfnKV36Nq9ef4GQy4Xf/j99mfLyLw2P7u/tjiiJv/DjLomTUjvjsJ57CWUtoc9T0gG7gGPTaDIc+6EsdoHRI2Gr5JmmeU4iCLF14TrgQDEfrDAZnmaYFSenH8rNkTq/XI12cELTX0eEQREFpCmbzBW/evUe3G7FWSJLZgjiMGYwkKgg8XDJ5wOx4n5e/tsONJy+g4xCSu6h2xHjueOe+YJ51UaJLKzKM+paN9ReQ4W1OjuZ022fBQZalIDzDZdhvo7RiNOxy4+PP8KVf+nX6o7O889K3+f3f/pfsHRwQBILFbM54mlDYOd1Yc3w05tZNwfHhmL3jnK++eLMpzz32my8fZCeqqVjrXZhqsKa5j/0mURjLpExoaQ8/BloRhQFaST55YY1PnB9ya2/Ka/szLpy/zPawy97DOwyCgPNRi2nbcG86xwlZZfxL7n6gFUhJ4QAhSZXl24tjvpfMeW0x42t2igoCPNnUkhuv5VJ1Wr2+e/W5dZWMQmXssUjz5VRqzbNsAr7/XAjP+vL3nk9xG+vEKqwZszRGqbP+elsQ4vtn+o9m+B/0/bUwWv091sHe8QmWC36SWnpHtbr/UGfxZVn6HoxW1SCeRivfQ2to2tQTuqZpymZ5QZrlZIZqYxNN1VdXEcvKx9Wd+SVZQNR13uMhnlPvt/m5D14f6aBfM3JWd0NYsgZOfS9U4k41M8dnzfPZnCRJiLs9lFbEUQspl/oqUggKAaa03Lz9Lq1Wm+eefR6pAooi5523X+Po6D5RpDHS+XLdWlwckqcaEfYY/vSI2b2c6aWL9Cyc+Sc3EDgOfv8h7XZI8u05ZIJ4q0d2lBJd6nF0a4/k/sKXdIXl7Xd2iELBuZ5m+HPnuf9vdpl1IkbGEKzHCAXz/ZTBhQFCGFwJnU/0ScoF7ZMe4xfnnIwF+9fOIJTGFJYLFy9y5co1BIJBf8D16zd46TsH4AwWiEKJFAFaK2xZkiYZwlnardhjj/MJncjREimjfpv1tTXCuO0zdKm91hFetdNZR5ln4EqkUly8dINWW3NyMseajLWzV9EqoDMYYFyICjdABATS8sTTn+PBWy8yyXfQUcRrrz9gf29CnhsCJdlc7xLHcPHAYfKUq1e3eeeNO+gw4ELpiGNIM4OOQigsaVmymMHhTPDewwVnt2e0Isnh3oHnh1uHsSW29MYpsYhw1vH8F7/M5uWPk6cJr7zwdTotyXPPPkkYKFQUc/3iFpMko6Utf/8rP0e3FbB79z5fe+FbnCz8NHEU+EBmnV02c62lEwe0qyahdTBLSyaLbOUO9oG0pSTr3Q6dKCQKFJFyPHthnZ/77MegKBi011HdCZdvPMPR3gNMWbIdRFwOO9xNFtyzE2wlKS6Epz8iPXUSKciAzPhBsD+b75M7mBhISkMoJAY/ze6shzFqGQRVS0c7fD+ncggryoJFmoFbBu1lUiaRQiGFel8T2HPK6+lyz1Bb6tNzKsX/AVGdH4jl8jgsvA6uWV6SahBS0gq0t/isNilrlpk3UqKEqJg9/hWsLTHGNc1YX+n58xEGCq1byNwRBhml8/IPtbxEzeICMMataD45VnUHftD3//4uyOn1kQ76QRCysbGFKQtwtaHEcvgBUStQ+lwhCP0gEdXJlkqwc3+Xm2/d5ONxq7oJNUpVjZ2ybIS1yiKnyDL+5htf5+233mBjfR1jS8oyRStAhhSANSUuDLDn1nit16aVluhSYy8OcM/1cTuH9N45Jklyds9d5sLuEdOTguI4ZUMq8pam/cku27+xRvJgjou66H6bjaCNW6QUdzMWdw/pb/cZpZLIOLL3FshQ0j/fRSNwJWRvJ1gp6HxmyPQbc8T9nHPXt8hLy9vVjXLx4qXK5cpviuvrGx5jdL4pV9+0zhTMZ1PShR+L14FGKwVaEKd7tKOSfq9Fr9NFhxFCBzipEUr78fuipMhyiiwBZxAi4OyFazgcn/rMOqbMCYLIP2hao9EgdJUJSeLOkO5gk2M5QrcGbJ7rkud3mJ/MMNbxcG+KsY63bo5RWvKd1w4Y9juMBhFp/hAdGK5e2ebCtSEHJzmHh3PGJ3Mm0xnz2YIgismyhLLIEQiCQFOmpW9UVjroSZqTjneZ773pm5j5lFanxy/+xn/Mw7v3OH/lKnsHM/Jkzt07N4lDwYUnLnHh+iXuH5f87lff9RiurLI/5zVl/LSpoBUIOkHlfQDEOmC2WGBs5VsgHYNWzMXhAGzBoNPiiulyfT3m6Wdv8DP/5DfJc0ekIz721k3+5A/+kL0Ht5HCMTU540wQVvCCkJp+r8NsNsc5yCp1S6oMthQCaxwnpWUvSTjKcp/NFqZqulYMOKX9lGy1lPS+0tY5siL32b5zFEVJmmbMZnNE0Fo6rK1ITvMBoWvZqHXUv2oJlVSM+sdk+T8ovl+vDxpqqpd1jvkiIVKhb4Rb6wcIlWzyS6UqWXHnGrtPQc2e04BpKoPAaX/eG3q4wOI1+CswAllh+r59Uql3WvPIkdWv/3jE44MGtT5sfaSD/tb2Wb708/+A11/6JrPJEbb0VoOwZCVI4XdN8DrTWkukEtVwlqTTbXPh4gWGoxFR3KY/GNFpdxBCUBaF57AHIWma8fDhAw72HrC7e4/D/fvErYg4jiqJU+k3iSQlWyywZUnSkoRBhziOidpt+oMuJ2fPcGId0+Mxs/1DHnRb7L13DxMrNnp9upe3GI8t3SJkOtpGfGKKeDBDDAeURjJ+wzGdRpzd6rJ2rk90EFI8MBSHKb2rI9J3FpispNwXZPsFwefbqChCDwRW5+jK2q0VKPrDAbAs+6T0Y/DUzSLntYOU8qWsc5lnHjlHpBUiCmhF0G4LWp02QRSjggCpAkTl+1lmhiIvvJtUMiGZ7LNI5jhnaeZnqTYAACAASURBVHWHhFGbIGihVIioDDVc1Uir44FSirUz5yimV9m7e5fNM9vs3LpNoLxMQqA0S+RAcjIr2DnYRwjJ33z7Ll/6setcfgY69h3C9j43zoUErTaLdMDxeIvcbPE3f/0yyWyKDAJM6SiNQ1hDFGrK0nDr9gP+5//hf+Lp7XN0z25x8+5DJrOEzh/9MbbM2Ln1Lt97+VWCKCRZFPzlv3uRfDYDLF//2++QFaVXY6wE/RQCqgaqFBArwVbL8dQ1yzdeg+HakL1xwjz1vHUpBN0o9LaBzs9GjDoxk3zBKw/2ePreAyZHR1yKe9x67Q3effctWtqrVJYCznaHTFMvu9ww1PB2fd7pKyAKNNMk4w177HnzxpBV0trLLL0KRGIJg0ghCUPfqM2LgiwvmiwWIM9z8gomRMpTLJ9l/PF04sc2WD9gLdO5qreAe+zPfL8g92EBf3VTktVzIIX3psiLkkhowjBACIkONHklxreK44OnmZaFaeiZ1nqBu7qiMKa+F6ogXkFlqw3qZpisMamvzVKWkuqrHgUftH6og76Qiieee5693Yck8wnYEtEYBFRBbIX6RgUHxa2ATrtFuxNz9sJZnnzq4/TXNhkNRwz6I9ptb4KspWI0WEOpAOMcR+Mjvv7X/5ZkdoKSgn6vx9ponVa7gwDm8zlHB/tMxmOS+YL5bMoiL8nNgqA0lE6QlZ7umRYF07LkRDqyjSHZfMFBmiLu3uPNfodIxOg8IeoFqE4P14+Rdp2WCgj6XQ50h+z8BvJkwa3xjEJO2by1jxkrJC3Kkx7Tdoy+40iDFsOfDkA6Fvciwl4PLQNKZxvlTuccx+NjL99cNRkF1RCNkhRZhi0L+p0WwzgkN4YwighbAUHgCKPYW8FpH/CF9JmOEoC13u2pzJge3efBnXdZTCdIHfhp3yisONgBcXtA3O7R6gxod0cEUYsyn9MZbPD2y6+QHu1z/603qgnSimtRBU4qW70okFirCHTI/niKlRFB75O8+tLL3H4vYWu7SyxuM+zdZDSKCcPPsb9/xP17O0ilyIqSvPC+xe04oB1HdKOQ6dGUc68d8adv3GIsFFlecnj4VdZHHfq9DiezlJ07e36C+K/e5OH9A774E8+yuz87BUEuOfq2aVbGSvDUOfjFn3V88w3BW7f3MMZ5KWectyWUnj4qKkjhpDC8O5nDPOW3/tn/gi0yvtRd49XjI5I0Ieq0vbZTWfLa7JijReLVZrOMJE2bZrAoCsBzzUvnOE6yhjlUY/51Zl1X0+B7XlproijymXCaNs5Q9VLCyyf0+z163Q6z3OKqisEv/5pSelOXepam7gG8D4N3sLSQofnbE4CWWkirgfID48eHwD2P+z8daIaDPmVZcnIywTmI45A4jv3kuFaVteeiEdXzPH1f1WjtbRXzsqQs7SOv7ocwa+h5lbJaFCUNU6d6y3Ll61pPSQhBHOpKxM9XHB/W8/yg9ZEO+p12m263RxjHaKVxRq1kD86rUIra6NiXrk5Kn4VKzzDQgeLGk09x8eIT9Ns9AqX9LdX0RgR5mXMyPcFieeqZZxG2pBO3GfaHtNu9BhJx1la4o7fNO9jf5fXXXwEcvU6P9c0tBoMRWmmyLGE6PkE4SLOc/b0dvv133+T2u+9wdDxGHfuHbTgacPX6ddI0J50v2E8WcHTMrWBKlJ4QxzFBpAk2urzXCXHGEMYx3bNbhP0O82nB3GZsPjigdJZ7Z9eIuz2iTockS0mLgjAImM3n3Lt/Fx0onPPZdhBG1Qg5LOZTFoscHXYYbp3j3u1bDEcjwmQNYQ+8EUs13wB1n84h8dlkmed+U7YFoyim+PNvsSsyrFXoTshW3Ob43IDFsI8MNVYIWr111s5c4M6td/mRz36R3nBEfryHxAuyldSlPqCE1yzBEkiHirw3QKAlQRhgZcTuwYJEbXPlJ/8z/uL//m3aBzO2jhX/3j/6x1x6YcrDB7teixxvgai1BAxbG32ee/pjCAvq1iHX9va4fbjgzoNjpouSXhfSwmGtf8elAakCptOMl196q2q66gabbSzvLIDnhkdSsjWUpIsUCInCEOMMPriWXNwa8Ys//9O88uJLTKdjlA4oEOSlo8xz5vPMAwRGsZ2XvInPJMHPa3x7vIexHoPvxhHWLSV6A+mb1oFeWjjWzJFG2M0t5Yapss1aWiIvCrLMKzzWVXXzQXjTnDCMPAbuU1cvXmYt8/mCNE39v1UbYmmWzJZ6vS97b/59+bse9zM/CE//0fW4oGitZ7PZKrv2Ymu1a5dnKQknK8KDF1Bztj7O2uXLNcNmdaXleyAe5quVQ43xG2G98dUc/xo+qi0Y6zDV9FNw9FsxWmt2j8bNscuqijffh7VTr4900J/N5xwfH5GlacUAUPhdcsk9RkiE9OPOYRTSakfE7YAgCohizcbGGtcuXmPQX1/hRq98BAIdMugPEUC/3UUrSag0fmJV4i/qFBDEUR8QpDql1R/w1HM/QrfTZdAbEoWtBr9b/QXOOdJswSRJkK2gorRBoAOefvZZPvtjX6A0luPDI1568Zsc7+8gEMTdDhcuX+HCxcuki4R0kTKfzrj34C7HyYKOdD7gWc3OxS0/nRsGdLs9Ov0epS157Y3XWF/f4K03XyfLU9q9gb8505QwXKCVrHRCvD5LuliwfzKj3R2wde4cQWfO7O7fVHo94tS5qwOGLUuMKYlCxdrakLUoRuyMOZPPMbtJ9c2O8bkW5aUN1HafVMDW9Y8z2NjGFCl5eoItE4Jg6f0pTS0fXFEYa8jBOYT2JXikvB5+XjoWSUoQD4m6Iy4995Oc3Wjz4OU/Q0VDzpzZ5Mb1ixwdHZP8f9S9aYyl13nn9zvnvOt97157Ve/d7Cabm7iIpBfZHnkZe+IZJ5PYiQNMPMYg8yX+lC+ZAAGCTIKJvwQDBwECG2OPx5N4mcQejxXLlgTZFCmZkkiJlEg2u8leq7r29a7vfk4+nPfeqqZapGJjAOUFuqvq1q33bu95zvP8n//z/6fWkMX3HILAY5xkvP/ODZpRhFMLWDk9g1tvMshqiNKQ5imH63vIShW0LDV5XpIWJXlpaNRCmvUQfWKQCSYbo920PEdR81xU2MJTAyJfUZapxdjRPLqywM//o3/AUa/PtbfemkpsG2OIwsBCNHlOaBSyEmwsK4mGJMut+xegHEUU+pXcQ0JRagvfKYFSkybzJEueQCZVs7DK+pXj4Pk+WmuSJK4yfmk9dx9YQjbAC040ObFZqhR2vmU0GllhuwoOsjIIdgNwqp5SUQ2tVRcVwhgmQhA88H4+GKwfoEk+5PheNgJzAmYcJzn9QYzrSjSCcZozGGfsHg5wHUW7VSdJ0kpZ1567yCcb98TO0OB7LkIbxklCGIYooNDWGjLLcqtGWnH5J/aak77FSRbP5NqZmsZXNNE8SexnLUT1mdn3yak+X3faYH748X0d9MMwtHh5UEMoB01WdfztBiCkRCmnkk22UgG+7+H5DkHNI6oHdLpdakHtgXHyBw5j1XZ8aY2M3Woib1KWnryfoZKoReA4Lp1Wl5nOLJ7jVpvDyeND9CokrZkZzpqLdNoznD9/kU67S3dmDtf1yfIc5QUsnT9PY6ZDGIYsLZ/i9Omz1CO70UhpB0e+/OUv8bXXvsLhUQ8hBGEQcvnKFTqz8xz0jhiMh6gkBTL2dt+znqVFjuP6RI1G9aL71Os28MlqOEvrEqVc0DkL810C30XUmuBGNqfXVoTKiBIjXIzjVqW6tvouRYJSYByH2qNzcDch2a50VeoOl3sJxTtrePoURxeXaJx6hPnli4RhwPVvvko+3CfwnUrsymb2UlR6KRrKKohmwgYZLRx8VyKM5tU//xy9ox712SZFMuK5F15gf/0mCCiLmO3NTba2tu0ikhAGHo16jdPnzqGkj94+Irmzz8jN0TUPp7bIz/78f4HOS17+zP+JH5Qk8YA8y5FKkmvY72UsztmNyRGSQk6s/mASSFUVDIe55taOZv3LY9ygxspMl3accri/S6EMF1sOHKwzMz9DqxZUfRbLMgtcjyLLKUvNZwf7JKVlBrXrgW3IO5JBnFVUQNuryfK8gsiOBccDXxGGDlqLSrzV2B6YmEhtS8IwxHFd0iS1XgZhHSmopAesMqz5kCHf/FzrAV0mIW2l4DgK11U26FfLwW4qx1PCkwx5sk4+vHY+7hAcn+t7CfIPbhxVGWGg1YhIkoyNrT07EyIEeaFJKkVU33fxfY88K0gnjW/sJqaUg3AksjJGn0iYR1GNMAwQUuJrH5VqPH/IeJhM2TkPTB6fgHzK0nqBYAxKCjqt6BjlkIJmvWb9waW0XtfVc/Fd92/unCWE+C3gZ4EdY8wT1W1d4A+Ac8Bd4BeMMYfCvqO/BvwdYAz8Q2PMN6u/+SXgv6tO+z8ZY/7Vxz32eDTCcyaDEQKjLRffNoSsDoyFHKqyS0/0q+0F6PkeUT06Qa06Ph42tVf9Yrr1V4gyIFFuq8qG7K7r4OB43/n2PVhyMm3aBEHAJ579JPF4yOL8EmFQAzNhJjB1sXriiafxPA/f9auS2T7GhPeLlEjXYWllmU6rQ7c7S6NR5/KVK3hBjaNejzv37tDtdHEch8OjHlTm0/fW7iGq0tV1PC5fvEKn02H1/ioHhweMs0O2t7fJBkccbG5QDwMagUDJK8jNHlF8ozILd6i1uwSNLkVW4juCUVngyhKkoQDMpUuIUiCSHRxp8BZ8vEBQJgm0HFrtJjPLF3CckEZrljLPprCOqiAGREWNK6vPHrv4eqMCq2VybP4d1ps8ffY8GMPdN/4Io3yU1ISh5LXP/yF3b71PkecVdGH55UmSsHr3HiunLuA167ijIadna3grXXaLeZ576QXyvOD9N1+mSHpcOfMIO4eHvHf7GkWZ0x8V5NpmrUZrisIaplRXgv1slUThkBrBm/ehNWjx9Kd/nPPPvEToCu5/6Xe4sLzPE4+d552v/gXDjS2W57s0ojqzjsuS63Hu/AVWP3iPeHCIKQtquqTrO1y9fJp2p0NifL748mukac5k0nryHGq1gHGc0GpGXDp/in4/Zv+wR6Me0u1G1MIA17UGIL7vAdYXWJd6kmsTRQH1KCDwXQtTVNe5lBKjwfNquO5EvbbKwBEEvkez2UTKIXFs+x6qus+E1z7J+qWQx7HeTByoeGAtTYP09CtVMgZaqGPd/o84HtxgxPQ1Zrk1MGo0a1XVZucQstzqXNXrEfPzXcaj0RQOU0LguA6+56M8lzwvOTjsW4ZPUdDpNAlrAbrUpFlOcTCwsGUlgCcmi5/jvts0Jp2Az2qBT+B7GK0rn4Hj1yMqT2Rj7AyA47qUH7P3fS+Z/m8D/xvwOydu+yfAF40xvyqE+CfVz/8N8DPAI9W/F4H/HXix2iT+e+B57Gf0DSHEnxhjDj/ykY3m7Tde4/7tm9aowRiMkUx9RQqLrUlpVScdx0onNJoNFpbm6HSbBKH9AJXigcT9uzU7TmYbxy3iEx3z4/+++9M++UFOzytptTo0mk18Nzg+Z9VodZRDu9WZUvo+/Jwmu7fWhqWVFZaWFjl/5jyu6wPWeSrLc6JaxDNPPWMHTIDTy3bnGY6HOJ6tiJSjSOKYC2fP4joOWZHS7x+htaE3HLC+ukbaG5CMRghj8AMPJ3jFZjWOpNls4kcRQa2BF4TE2kUFNXzPNlhG2vDyxgGOHxFcXSFSJYGv6c638ZXEdz28mWXCRrcKHi5S+RTaocxKhJQENQ9XWfXJfHhUwQIa1/OZu/RjxP0jBltrCDEijEJ+5O/9PK/86R+xc+8GYaBAufRjSVhvcO78KR65NEuRBmxuHDEaFyRZiSMdhCkY9vZp+iFh3aV07Gc2Ho3J84w4idnb36Mc9/ihn/wURweH7BysE3jQqjm0GiEHwwLXVZUZj4UtJiwLWS3moixJC0lr6QzP/8x/SNieJRv1ef5Tyzx+fhdHxty55dKoeUjtEDQadLoL/NR/8Bwv/siP8cXf/uecUd+gzDKiJtTaAQuXf4Fw5jKjYcy3vvUOw+GYOMkIPIcicHFdRafbZnt3HykltVqNg8MeniN55Nws83NNajWfwLcCfLrMEUZPZQBEtZkFvldBMQ+0VqeQkB8EuAocIaoC2VSpksRzLWsoje3mbK0jS8oTPhSOkgSed5ycmWMGkVIKKhepScvhJPNLa4uNlwb6o2Qqaf5xx3SNVmH/aDCm8/gZXnzhUVxHYrS9LtMspz8c4boeRli/Y4GuPBMma3MCARcW+itLW+X4Ho5SZJW37jSKiGPvA1PZLDqOmsYDzAlV0BPG7B+2jBQVtDNJCCePof6mjVxjzCtCiHMfuvnngB+rvv9XwMvYoP9zwO8Y+45+VQjRFkIsVff9gjHmAPtGfQH4aeD3Puqx93Z3+KuXP1+9Ecc6FLZ7PaGNWSPjMAhwlMQRAsdoymRMMXbYXl9je3uVudlTKOVWlmYVPv2w2D3NNvgwNP89HR/HGLCDKvKBhfOd5e2Dx8my1VGKs2fOWeyugqQApFQE/neWdZNz+q7PxXMXcB0HA8TJiL39HXzPpdWs02w1OeiPWFo5g27OcXaUwc4e/cjFLzS3e3vsBqCFYDBK2D8akGZrJHHGwrlHWD5/0bo0CYdePGZH1Ci9iHS8iTIJ880mz5+/yP7RHhurd3juwuNIJyBPRxgg6p7myqf+Hn/+x5+hTHo89kiHZiek2/ZgcEhZuty9meOHHmLpUfwVFy2+htzaw/MUfugx13ZoS49GXRFn8MrXNtnaOeTnfvE/oxYMaUc519+5y+7OmFJrxqOcg16KzkYUpiBDkkgfaQTjUZ/f/+3f5O69ewx2Nzm/OMP84hx37qxy7/42n7h6GmnyaYZW5IXlWE8amdL2Siyl2BC4Do3AoRwdsr+5ykKtQVnk5KlHEUukygndI178VES9NcPa4CpZ9xxeawbPU3zqxVn8zZww8uksK2TNYae/wZc/+21W794nkCVO5CO1ZnGmxTDw2OuP7ACicojjlPvr2xSFpt0IuXRmluWFBlGtBrqkzLMpM27S6LffW6BqAj1MrytACI3nSKQrcKSp+hATcqWZsnQmAdwym2zVZinClkXmOY61dayiuuD4vqpy2iqKiW79xOTkxNIUgnFmlS1Prpnv1uR9YJ1V3yopWZhvU6t51eCUHZQaDAckSTrdsBxHgLEBOx6NrCih7yOVYjyOybKUsgrAnuchFJDbx7HPv2IxVdDdpPKcqKCaquGrpKxYYGaaxZvq2gJsj6ViQoHd/CZEAv0dUPODx18X018wxmxW328BC9X3K8Daifvdr277brd/xyGE+MfAPwZwPQ8v9KcXoy7LqT6HxlDoEqMNeVES+j41z8MDytGYYZ6QHhzS29xhb32TWqONH9bozi3yzHMvUm+0rV2fciymWWnybG1vMB71bYbi2yzI83xc1yMMajiOy7E3p6myDvEgI+jk62GS/JgTP3+HxXv1u++87WEbgpLqoRXBRx2e6z7wcxRGyBmDUla3aPfgANwAsbpDPN7ihXRAvZuTFi3CuZTrosMrc23S0nqgFoXFNuM0pzO3YNkOWlCWgu7sEr/8y/8ljqNI4n07mKU1nqtIkx6d+dfpLJwCVEVrlDz27A/CMy/xzq0NPvenf8bueJPTXYezi4rZuiJLJb2xRjsJ4t43qXfniSLJzEyNVjtAlH2isEA6voUQXEG97mNiH9dRSCXwA58wdIlCUNJB6oLB0OA4gizLcbUkCR280pAnQ9596yb7/RGeKglryyxcXOLeZzao1UN+5IdfROoU1ym5t/0OqsLOPdch8Fw816sy2hJHCpqe4ieeMsycOuKdv/hjjna3OLh5g3Lj29ydjfnRT83RCke0ZwTRcoP9LcU4GbFQrOPc+j3Ezk3yQpD3c+7vJiydbnHn/jXefeMuWWaskbnQeI6g06ihiwLfcUgR1BoNjo56HPZTHMdlnOSMxyPmWm0cGduKWZbo0lBq0EbheCFIp7pibXU91f4XAoEmGfXxHYOROUpClo4Z9g4pVYgx0Ov1ODg8ZByPKIsMgakyWoPUE8IDdoitylInjUwhqComiREGYWQlQW3/7mQgN1iBxQc2pRPr5WHJ1Enq5+QxJ7MIUkqENpSlbZ6XZWFpm747PZdl8GUoY121sizHda3kus6KKeOmLHS13ifrVuBVfrmT1+s4ssoVJhur7U9afJ/p4wG4Sk3nbSZVisBCn8fHv+dGrjHGCPFd26R/nfP9BvAbAItLy+bTP/kTFIVV5yvynCRNSCq1yCxNyfOcJI7JxzFH/QHxyFAPHKQo7aSbFDR3d3nsqSfJTElvdczq1gZSOlUT2E7xLiwus7CwxFdfe5X1tbu2dKuoU0EY4Ud1FhZX6LRnLGZXHmcWruMQ1SJazRaNqH7M61X2QnZdj0azVb1C8T0H94f9bG98UGr1r3MIIPRDEFbOV0mY6bTZ3umxNxiwd+M69YsRW+9uceHpkJAOnlAYpRBUo/XSwfEFUjlkWc7d+wf49S6Lp5ZoRA2GB+/RqM/hevPTbS4I5lEqxfNmsayHAooh6bjHwd4et96/gQb6qWGzr0kKeC8rSNKCMs9Y1g5R8hrnnu5w6vIKtaeu0rr4g3i1GWbnIkb7Lo1WC+H4tJpHJLmgHB9Q5jFS1vDcyp5OWrZDGFhbwTjOaBnXTjxrjdElRucILFf9aDDgd/7Fb/DNd97E8yRKajzPQQGB5xF4LiW2gTnJXPNCW8s8IHTh/FIKdcP9V97ja199nZqAhq/obUge1QMaNcX9kcvyylP0E8HG228g6+/ROJdw60bM6RWfzc2Ur70d85Of7jI46vMDz7S4u56w8VaPqFFn+dQCvrLmMvWax2KnSz/WbGz32DkY0+jMMNMO8B2H/e0tlhcaaCYVCpYg4TiIaqq4zDRFmeF4LkmSWZZc4ON6AkeBEhojtGWjFAWH+3u49RmGac7u3h79wYAsS1ASfM+p1CUrJk9lj4ijKFIbKFU1PFiWdnrVdazl5ocv9+9YJ4gP51sfff1/6O9LbcjzshqMOp4CzvKcer2O46rp5jD5e9tzmxitGMLQr6aIYxxHVCY6VvdICggCx/oyO3Lq6WHPdYzpT4L/BI0+Noivqh9lKyJ5AusSwjbmJ/MVSv0NG7nf5dgWQiwZYzYr+Ganun0dOH3ifqeq29Y5hoMmt7/8cQ+yMD/Pf/0rvzLls07egLyopgwrw4o4jnnzjW/w7/7wDzg82Md3mjQbIUHo43kO7bku9U6XUqiqOrIfqjYlWV5S5AXDWwPW1m6zeud99rd3MQaCMKAzO8PCmVP0U/jmB/dQrCKZOFphyzPsp+AohasUYeAR+j6B7+Ai+OSzz/HY1Ser+z78+LiBimm5aiZW6BCnCYeH+xX2V1ghMQy1WkQYRniuZ7OWqnYcDQdT7rVyFNYftkSYEp+Mej1iJgwQcU5UeAwPahgvpvelPdrziiuNLnGWk5cludEkRhNrw0i5DDGMizqlN0uhbYYoVYoQ+hgqsO88QbCEciLLrCkLiriPRqCkwSVhruEjpQFdcNAr6feHVfkKB8NDAleS6gwhFJ1OnfryHns37zI6WKcz08EPQ4RwmZ1pcDQYo7MRWTIiT60SK2YiyCenQUVog6/t11LbakxiKmaLZPegh+cHJHlGENQIfQcpCpRy8Vz7L61oewg7sFSUJc1A8NIll60de80lcQK6xnA4xHg+aE1T+5jbOalTsI9AHtUQMmF0dMi76x55zyCU4fathK3VFLXyBJsLn6TV7rGQv0lSeDxyyeXM+dOEUR0KRVhr8dpXXmV+fpZr766yuLLExcuX+eD6dcbDPkcHBWdnahhtBQfLQqPNBJIyYEq2726zdW8DJ3C49Pgl1m+vEo9Sas0Gl5+8VMETx9h+LWoyu7DEOBccbe3ZQS5ZyTNXWazjSKTjU5Qlozyp1CwL29uqAlapdaVOmhD5HrXAm9J0LXPvYYnQpP7+7mvqo9g9xhjy0jAepzaTFsL2kFyHZqthtYs4NnMxVa+reiRc16UoyqkNplLKViqVh4XjKMrS6vWIivmjp72Tkw3rE8Bv9b2s4CDbP5jIMkxf5BTPtzFCIv49Bf0/AX4J+NXq6787cfuvCCF+H9vI7VUbw+eAfyaE6FT3+yngv/24BxmPR7zx+tcoiqIK8NaYIY4T4jgmTROyNCPLUu7cvkU8HoOUHAxjBklKGHjUQoe5lcXKaf7k2UVlmyhxpd0MhFSWsqYkB/uHaK1ZOH2KTAu8qMk43cJF4DliisWX2rowaQSB7xPWXBR2WhTPA12wvLxiqWUfCvr/X3L1B8rVaqXdun2b//v/+gOKLEFra/JtLxAXP4iIogjXc1laXqRRr3H92ts4UhLW6nQ6bVzXYXl5hccfe5QLyxFrq/e4ff0G5+9tMKNczH7MpVqbQTnCTwqev7mFow3J0QC/Xic7GpGnKRuzM3zu+fPUPYMqY8oywxiDG5xFOfUHXodBoJzOtBOny5LhYEC92SJLRpyZr7MQgRW2MxhdkmbtChc2FTvLas6/d2PE4qxBmK+QFwmokvn5jhVSw3L6lRLcvX2L/d1dTC4YjXIM0prKICvrOkHohmTaYZzmtAqrdy6EsTIVUkyVOCc+tI40BIGPkIIw9Gk1QtKyJKk43HkFRS40HR4/U7Cx7VIayZnzLq1WSLgXUK9FBMpKh+RCIQvN3vtrbH/mi9RnZujUI4ZhSK4GOO4WK5fmaYQD3M45dNgiLQ3juENvsIsUkuHBOr7ocO6R55FeyIVLp+jMzPP+5gGtVLC1ucZocEiRjRnGmrmZOcCydKS0Q29BALW6QjqacqAY7sFjz5zCbRpq7dP0jgq0UUhlPzujJIjK8BwB0iHPU5IssZDLxDlK2GZ2PfTJ8oxxNUMAVINkFVx6gnPvOQ6+7071/I15eFCfYvzfQ6r/HSyZ6tDakKQ5c3ctGwAAIABJREFUvcGYwLcT/cqV1KKQqBYiVYWfG7uhT6SRy8JqOCnHCg/aCsFCO1IKW5QzaWKrShvMTHuTJ4fiJmSeKW1T6yqzt4mHUrJKfo/lGqbw8okq5G8swyCE+D1slj4rhLiPZeH8KvBvhBD/CLgH/EJ1989i6Zo3sZTNX66exIEQ4n8EXq/u908nTd2POra2t/lf/vmvTdX3jLEeoWVpeeemtCqJusL2J1SqcZIBcHq5xvz8As4Uz554UGKzbqFwXR/pOCwuLnP27EU+/9k/pnewz0oYkBcGp9ZkbeeQcbJP4LoorSlzG3h0WVbnsZikoyx9SpuJ8bngkfOXCBtNRklMliV2OtP1cF0PV9nnNcXl9LEZ9cM/DJjMC2CsJ+fm5jbp4RadmsYRdvPJ8OklAqMc6s2IUTygWffJ4j64Ln67QZqO2Nk+4rFHL6OLGFEmZPGQJE04HPYwmUO8cUBiLwISfURxuEfoeuS9ESW7GF1SX5lBxSMcAVevnGNuroZRNuPw/NmTCUt1TDoa9sUUZYFyXIIg4Ob1dxkO+5iywBGGdmRAl4ysR4zFc4VXNUmt7swwhbv3jwgCSa0mrEmHsjhwlub4gc/h4SFFroAIN4CG4zO3coH33nqD+VNtUBHBpbO4t+7QE0dkeYHrKM6eO83e0Zh4NKDdCDm/Umdxpk6eaxqNOq12A+m4GHGdQpeVKbZ6ILAMU8kbNwUZgg/Wm2ynHu3OHKcWDf2jPoWxdEMXg+sohpTk79ymWOzRd13UwiLnnvsUe+u3iZaWaFyUNHZfR6cjbt0zrO+NqM1e4Yd+7AXaoy9T8/YR6j7UH+NH/87f5t7aFt2Vba595XXqUb2i1VrpBjERRpPgBtBqCZZOBUStkLDzNHPLuwzGPYKuR9ip45WC9cNt4kFKs+ERj8cIAqSj0GnK9tY2N2/eYZSVDIdDu0ZNaatqrUnSgthVduOeONvJiXftsU7NpIp2XUXge2RpOg36GhDGMl4mqHJFePnY46NlCszUm9dUzVVLMa2sQZn4Idiegj7BcqK6NoUUCG2v68mk7aQSmpxv8rsJq2sC6UwCf7XcHvI8bZSYyHdPBrYmFpPH74Odm/mo43th7/zid/nVjz/kvgb4r77LeX4L+K2Pe7yTR1lq+r3B9IWCqcwZsF8nvG6hjiXrmLZYieOE1bX7nL5wCuUGGC0t9oWlQDquSxDUaDbbPPH4J+h0Zlk+dZ6kv4spckbjjKWV07jtRfKsRBcl41FMnKakSUpZWsaGKTWOUvi+i3QUynUIwxqtVoOFldNsHx7y2le+zM7WJgpD6Ac89+zzfOKpZzACRuMxUVib8scnu/fJw2auhtXVu7x/413A0OsNWFqcY5jdYa6RIZBIqRjmmsOxj1eL6M7O8ejjT5COesT9AxzXpd2dwXFdalGdvCi48d41FtsORamIopA1T/DK3h44OUIbHNfBDZRtVo1jlBJkOmVFSGScsn5pkcLxkGaMKEdIVcfOy6qHrMYJC6v6rLRGCti49wF3brxNUAsQRtNpZHziiVWO9gzvXeuCVJw6k7C94ZMbb+r/q6XAyIBxkqFcQxynFppxAsbjBCECEC6HBxmK0DabhcHtJYwTzZnHztIb5oR+g6WohV7f5Cis43oOz3zyKdbW9/jWG6/TaYScO9tkab7NYFxy6clnkK5DUKsTfOGvKMscR1UVI0y50+NCsT1wwDG8cavgVDJDPRLMtj3Ozi/iaKgNx9TyHOn4bMRjFrtdZpZnCFyfI6/Fy5/7Emmh+enHf4rTp8+zUlxA977OyswOuXqapPEpFhbmUGvXCII5gtlL+HM/Tn//Ptfe/ir7R3u4oUMQuZRlQDYsbTBzPIIowHOh1XSYX27QmuuQySXc5V/g1GzMT57+2ygOkXqNvY11dsNdSunjmJRW3Uc5Plr6FNJy/dM0pURRr9en9o+26Wk1C4Q8hjeAY8mK4zgxDfxgAz+lnFw502z7w2XyRMhskmB8HFz60HijNVIpO2wlpIU+jyPw1IZSPBCwJwN5+gHzkjwvHsjA7SS3mb72ifrm1B9YnIRtbFIjPjRprKQARx3TMyfZ/onmsq7Qh486vq8ncjGGMi8wxmJ8lu7EVJcCYCK9+mBH35ZXcZojlWA4LmklwsoBV0wdUOhSUhaCPNWs3Vvn3p01drcPKAqHIiuQKsCXAZ1ak9wrybICBwfX9UmclCxNKfICL3TwXUW9ERFGEacvnKMzM0NZFNxbvUWRxNy5e49xv4cS8NiVK1y9etVmwcD97W0W5+ZoRvVq+MxUgkswucaPBn1G4xFfe/01Pnjv23aM3QuAjBd/cIluw7r1hKHicORRfjCDHzU4f/E8z73wEh9c+zabq7dYWjnD+cuPk6YZyXjE1vYeZTqi2z7NzFKHn1h4jC8A//J3f5dc5AAEYY0wkvSPBhi3RAmJKUqe1z5PNUNef+YT+L6kiHcpEkk+LnG8ED+cqfD8Dy9AAaakLBOMyRkOenz9y39J4Al8VcNTAl/u0W0mBCYjfKpEKkkUjQhMxPrOMrkIQAhcpchyTZaXBKGiKLVt4FcLabJw0yRnY32XLLMGIffurqN1ya3r7+NHTYKZJrJIobCMibIoMaNdBrv3K69kxfZWRiNqU2+6NM9ewfGbCOCJRy9xtH/Em9dW6Rtd9QTsEfqKH/jkZdY39rm/00d5LpqSmVbIfN3QjUL0nQz3oLT6LsrhqH/EM+fn2E8lMlgkiXcx+ZB04wb34ozu+SsEUYN25/fw/H02j94j3PtLctNDRT+EcAzl6Ca69ypzrZigHdFYnoNc4+YB2WiMoxRRI6Je92lELvOLLcKZU6iZ5wi9BaQ3i+sJFuqnEWQUR3+Jm2cUi+skaUFaKLRxKLQkR3FU6EqKw2U8ShknmZVw0HZQSesSKaDIC7spVxukMSdsEflO+EZJSVkNblV58HdSMB9yhX1v4eUkeUJMrQ6nnVItADmFl4qirCbX9TQRnQZ8LEQlmAR5NTVsmj5LYZMy5TgPWFmCJYPYfrWd5s2L4gG4ZzrhLCzzx1YSNiYaY6HMqbbPRyf6399BvygKDg72pzvqVHvvgYvkmP44/X+yOVff3/s3f1oJIFX8eDGZAJw41B9z53VpRb0sAiQRn3kFIyq/IzHZVSeNSQtTOEpw9vQKxljt8hdeep5f/KX/nO78HIP9iF4a24ZlniEcRbvdxnE8m70D4yTm5Vdf4QdfegnXsyP37WYTRx0LZLmuixCWFieMxgtqhPU2UbPL+Rd/nu7MHLos8QOfbm/Epv4aUHLh4iWiWp1ms01Yi1g6dQbPrxGnJbu7hxztbuGrEqcY44VNvvyN63z9r75OUkycfySFkMR5SWYEujKAQEneCEruNAs6joMyJaZMydMY4S/ievXjgP/hDhuGLIvZ37lPFIAuMzwlyHWBI6HMC45izVFPMtrJGPbsTIZ/xuVgOyGJE8J23U5kS0FRaEpTyb8ZKiaDLaFrYQAYzpxq8sjTP0wvbuAHIeNRikGwfP4SR4cH1AKP1b2vcGdbYPopo7jg/rdvsts3JERcWx1RbxQszp1FSs39Wxtc/MQptLZ+yp1Acnapy7B0+eDufYvvYphpN3ni6hn6/SHs2MCQFQblhWzu7pLFOfWsIDy9wlFcIo5SIiNQDoR+RGdujt1Dn637O7z9hT8jGwnUo0/SDCTyYI0LZxUzc33efHOdvf2Icxc/T602Js8UGxtjRrpDbzhGCwOyxEjDhAzjuQLPgTB0CWoB0gkR7jwaB6Oz6uqUmLKPTvqEoSJ0c8o0pcRDCyvAZ4RASUUURcwvLBDGGUf9IbU0wgDb21vIUoCZEAuPs1o7c/MQCYWqQZkXxXQwS4jjNW3vchzqJzMRBk7gPRPglIfuCif/3uLopWV2TZ+bZe+UGvI04+DwiDQryfOSJM0ZxxnJxPzd2A2tHkV4lWm9EIIszxmPE5IkY5zk3N88ICuO1UWllLiOIvDNtPkrhFX8PClR4TgOnutNX4euIKeiLCqzm8mG9OAm+rDj+zroG2MbRJPvLd8dHpzMeAgGNv2drbXLTGOdC5i0ypFV1l8IgRBW6+XkYSEIjSiKil5FVZpNLiSBEaAEdGc6HB722N49RAjJwf4XaNRr/Kf/8B9w+eIlet0ub7/1ljXtEIJGu02m7TRxXtjR6Tv3bnHv7ge0mg3OnjvP88+9iIc3pWb5rke72YKiREmJ6/r4YYTjhQgnItcOGgXaZZSWOI5LWcLBwSF3795ld3uLPEm4deM9esOMzswsRZ7TqDcgPcTEh4zGQ4p4iMljFmdtFiuVgxf4ICVZ3TIYJhosUilqzYB6sovOU8q0xXg4pt5sUUjLzXeUsvRHY6aNbK1zyjxlNBqxu7nN1t33OdjbJR0NcCRgNAqHtfUWDQ/cesFwWONoaGgt1Bjt1KxHa2mQZmLgLUjTYpp1kRdVzNKURUajWef8c38Xr3HBOqdNP+eJYblmt18jyjuUxYD++vuEnVkef/Ip4qLkvWvX6Fx+lqcev0Q+6JEcpNx+65tok1Lk4Dk+V688wpmnX+Kf/g//DEdJXCXotJsopfBdh3otRBtQXogbhty5d5fewMpyt2spy+0lwsGI1XLIs1oye2oFUasRnRsQ+ovsbWasnG1Tr7+D1LuslxF37ra4vwV37wlqbsJr6/eYXewyszDDUXma7b098rzAVQZTalzfQbiK2aiGI23CYtU3JWWyA4d/ivCWKWSAwCEbbFIe7jPcXKPMBuRZilIgdQlIpJlMpFqJjGazgRcJao0Wg+GYUTwmy1LL1c9zdDVUadfzsSnSyTVOtcKK0pqzmOIEVMKktyMeYL0oAaEjKaoTWLaQzTYmMfAk9m9ONJsm5yjLgpluCyVtxZhkJbuHMZt7a2xu7bF6f4def0ya5sSp9RU4DrCVONrUNMXeXk6h6ZPT+ceQkeC4ESsrlo/veYShnS/xPLfyCXEtnDmldVazAhWxYXLeyab6Ucf3ddAHpln88VEF3Q8FehsbH1LoVSmCmLj4TIP+g6WXODHsNOmWCymQyvrBOm5gRd901cAxtspwpCTNNfv7PUDhOg6+H/KFz3+JR59+hh/91A/QaDRpNtsMe30cV7G+scnewefJ85SiyBjHMePhEWkSc7C/zWA4YGtznVajhpKSeqvLk08+h+O4tLvzHO7t0ZmZ59LVp8iyHGUMNddle3eXV197jX5/gMAwN9vlzt07pOmIvdWbDA/2cByf5fM+g8GQLIlxdY4eH5HlCf3+iMvdkGd/9nk2NzaIM02t1SIZHZEmGVnRwA08yjJnb6SJC4PrShrJGnv9HJ3VKbOCO6u3uP3GGxghadbq5MkYhSaqWR2kbrPOTHeGWlRne+MO8WiIMJZP41eMJ7Rhe2uOcS1CqYyjA5/eyMcIq3diEJVhNxWLwVRDYyVCGIRjG+qDwZDFxQ5xGmBENDVymU52ViFHG8GZy89SC0+RZfvs/ds1Vp78Af7uL/w8AsOv/s+/xtVnn+PFH3qWchyz+tqbfOXlb+LVA8qxwnEDdJny+pdfwZOCZrNuZwIE5EVJt93knInY6Y1YuPAo0vVYGA3QcZ88STlqznDlwlVqvX3OzM6RZIYOJfPNFK017UaO9OYRep/x0Trb2wYpmwhHI42DKOByf5+bYYT0GpTRRZ756b/P17/wb3G3b6GkJNUSowX1WsiFhXkcaTN0IQSUmjLdRadfBca2ghbLmOIywng4YZ0k1RSM0CautGerNacUnuPRbbfY741JK0KCpRfayVErjV5ilZUUOkurIDWhIp+o3qfsFiu/8AC1YZLvGW2h/WoNe0oy26pVscFeGw/KFljM3lJpK1VPw1THRgkAhVQOWzuHvPf+fa7dWGV9c584zsgrmWVxspF7cpOqQklREUqEOJmXiml8Esc3WTXRqqLB2AErbexcRJxa1y3HsRIVtTAgqgVTBdqiYg3leUFRlHhepTZgHhzTetjxfR/0zYcuBpsxPpjdT3ZL+wYebwKyys6lUpXGvgvT4Qs5PcckkAssNGADvoN0FEHUoLm4RHtpBa/RotSavftbxAc9pKPI04xhPEZ5NUyRoSrdjt2dff7sj/+Utdt3cV3J3t4RR/0RzUbEzu4B8WAAekSRD5FKUmQleWpt7W7eeI913+XUUhelHK48+UlyXaK1pN6ZxfUiarUWzUYL13UIfJ/+oM+3336btbU1EIJGI2Jufp6tzfvMzc4yuH8HNytp1VtoqUjGY3SRg8kxOqfUBaRj6qog2TnAHw25+uIP8dRP/8e8+4Xf5/ZbX2P2zCWuvPS3+Ms//H3ev7dHP81ZWphB6Jx0PGZ/74CmVgzjMcH6BqXQJFKhEAjHo6w1MEoSj7vkNR+/1iRNEtIsRQqDKXPyVCPQSKNJdUmWOGAstJaPq4xP6mNaW1nS7nbt2Lt7nE0pYZVDPc/HcV2SpM9g7z67a2vkecHihceq6V2H/u4mb736RQ4TRZpBMT5AmJL9tZu88uef43B/n8P1O6y9f42bDcFo74DVb1/nyRc/iYpqbNy5Trpzh2y0w5lWxvOXF9jqZaRFFRiMtAN8oUtDezz3Iz+BdjycPKO/eoM8TDCtBqO5LivPfALqLgQ+d2/cZHW1Sbf9AmtvfoXD4RoidFm97bLQbTDbrBG6ilLnlOMxShsuPv4ocm6RURpz+MaXOSczrqwscGdrA78WkquSwgwr+WOLlZdFSZ7kxOMcoQRhCIghxtzDa1zFFCE6yzDaMO7tVtRJgTEKLX20E2GEwPctn/5Y6rhai1KhlEshMhvMq/7cZMNWVUY+NVc/ERyVUg+mcVMSwIfozwLcio10Ml5MsugJQlBqXenOH8tM56VhlGbcXd3lN//157h9b5vBKK2y9AfjzDGIfIIiOX1ak9crqrz0QZMaWVUAJ6sZUW28qtLTFxX7b7JhlaVhMIoZx9ZPOfCPGX92DZhpPDvW0///caZvjK4GjmDyQhylWF6a5czyAo16Hdd1SZMEpRS7R0PefOc6M+0Gly+cpVarEdUjao0Gs6cv0JxfnhqBqCldTXB0eMDW5jrpcMjdd6/T7w/YORrS6Xb49H/y9/npn/pxTs/NWCkDIfiTN95m+2jI+U88zrXdmLur67zz679OtnmXJE5IkxQpJS//xSt8+dWvgIBms84nnn2CIIxwHZ+gKQmdksHRIRpBnuY203VdMgWYAmFKlPTozs6R5imitNLHM/MrtNpdzq6colYLub+1yVvvvM3u4R5nzp7GUZJGvc7S0iJpPOTypcsc3n6fcQmBH0wZA6bKKpSj0NIlSzO2dtZRaDxPEoUK13NZObvIrHOWsB6QbryJIkMIaTn/noPCUBS5zRqNwd/e4uxXv43yJYWnwFWItEC2u5haHb08RJ45gzIB6In/MRRlSVnmTMxZZDVwM2VmTK5lYzfo0JP4nksQKmuY48iKI10164XEcWwGlI7HbLz/BmvXr1PmOepv/QyOG+I1Otx983U2v/YFDgcD+qOMWj1kYbbDmVNjWupdRLrNrNznvVc/z72v/wVS58y2FdE7G+TBMqeeeoms/wKrb7/KQnPIc093uLWd8/a1myjHA7dDNBtRqBGHgzX21+7x2As/hHnqWXqRwXVLtHZpX1jk8sXT1E6d52D9Dte/9ufUG+cJFy/x2jt/yPnTp5mbW+JqK6LT8MDEzI7vsDNu0owChjMd4oMB/fe3aM7NM38+IGyG1DwftME4ilGakcU5B1sx/fUCZ0WROznxKKXfl4xHp2m1Sly1jS5B7m6SJIIizyoteUlZNiiNQ45PYmpkhU8hNQgL1UylErDB0lFWDgIg8FyyrKwYOBItBVqDkXrKVplk+lJYRdgimcSASSioJlCr+4rjm6cc+A8ni5NmrfUKtvHEavs4iKxkmMDte9uV8cyk8LBB+oFmLMdwTHXyaQY6GZyS1XO3zn5243KVlUCW2CrAURbL91wX13Uq/r41xEkLzTBO0QbiLMNzLPOHk/MFAqRQeJ43fU7GGDsV/jFx9fs66IMN/BP4TSDRRnPUH4IxdFpNwOJoiwvzDMdjAFZWFnnsscvUGw2KUhNGNS4/8ySthdPTC8VgfWJNqRmNZlk5s8z6nXu8/613yQubbbhegPI8MJpWLSQKvGk3vTE3Q6EcBoMBq69+hcH6PZZmWvT6/ek0phCSTneG8WjMcDhidqbL7OwMrhI4pqAZlsgMcm0YxVAUBt8RBJ60Za0AP6zh1yKyLMOQkxclQVjDcz0CRyF1TuBo5rseOquRaUVRGFzHXmRRWCMKI8KgRhhFKMetJiA12pSURUqWxOSkaKMJHIOjSnwf0oO7lL33aHZdDncFeTwgz4dW4EwJ8BShMrhSI3XO4VGPJM+Jx/tkn2gTtUOywmqSeLUAv91FeR6Z9qgFJUrlSCorP6FRFAitkdLgCIMSBrdiazlK4QlBmeQUcUGcZTz+0hWkqzkYaEZJiZY1tHsezBFlmaG11SoRAkSesPmNv8DVMadOzbH+yq8TuAa3ucB4a8Sc0+NsN+fA06iGpPALzp1qETXrxINd5ua7NLtn+NbrrzHf1PzgJy9z+tFF7mx3ufrk05x/5ArvXbrKVz/z+zz29OPspN9CqdvUmzNc/eH/iKizyDuf/185F97g+jdqXH7sAleeeIT19AbL5+dIdMTR/j6lP8vc7CKDnTW+/u1vMvjmLfqDmHe+9S0uHw15IYx4ZD4ky2L8+RphFsPQx/Qy9gY5va11iqzkyLvP6P4eXrfFfrxLKSW9ccYgycmTnK07Pa7nHk/82CxBKIhJ6B1lrN4dcfbiaTyvbZvhUuP7EDTnONxN6GU5ibY+vqURxLkhLwuCsJiuRSEqeGOCZwtR0Zs1p04tc+b0UpVxw8bOgI2dAQLN8nyD0bDP+x/cIS+rjF8cm77Ik8G2gvROtve0NjagT/t/ZqpRNeVgMIklNtt3XZcSBSRVpV/h8RPIaQofV5j9JGOvArCUqrKBtOqqSgq8atKbCv4NfBejNTOtBgvdiFYzIgxc6vUaURTaAcFK8ycZjkjGCddu3LNZf1niEPL2zkHlXyGozBAApsJtk4nn7+X4Pg/6VtpgUs5NduDeMGYwTlnbPpjSqeT7dzAGujMz3NvY4eadz1KLIuI4pdlq8MzaLn7UOFGuUfFutfXLdVxW766yurlnO+AItnf2+aN/+Xu8/Lm/5NOf/hHmOm16/RFffO0bqChC+AHrH9zh8IMbUKZsbI6p1QKaUURWFIzTlJ3tXYzRXLqwzKnFDlEgafoxIVtINIUvcLTAcwypNDhKY1VWhZWJbrWR0iFJEoS0mUEsHcqy4FtvfpFmVJLnMR1xQLTosTOK2N47oixzsjw9boBJhfQCNAKdpGA0RZaSJ2NkaQd2vEBx5mIXz7NYfb2lKQ6uI5TGdSEtUoSU1IKSM12NUJJmsyBTBa7JyMsCVxf4c3WCeo2ZpRkb8F17QUvl4ypFKXzqLQ8jJYGvkGjaviD0DXlhaBaG+bgkDQpM3Uc02nhRm3J3i1F/SJpm5GnO/EyNzOTEWWzH0L3ziM6PUg7epEzvcHIw33VKoiAjEJr5pQ572SG+6bF49QKnnr3CjT/6LZwixhmBFCVGaLQu6Pd7jEdjukunOXX5eW68/RauM6bVqhPMnqYbPUaSpEihabcb1BfO8OyP/yw3b69axhUwPNxh7cY79O5+k8DpsjAXktz5FySnXiAe7rC7mTFz7gqpHhPVFPH2O7z8Z/8P716/z8budeKkwPM97m/uEL35FmeeOkecxZS3XVavx+TjAWVWkBsblIyGdBCz9fYNSqXYXgyJmwGHB0PK3CZPgRsgS5cyM5ZLbzSjQcK9O1t0ZucJGw6O5+J5HvuFz8FWQD8JyLWmRFNSCR9Kq6pZ4kyxabDJ2qTRepIls7Q0z2NXL2OModCSUXmPXhbgOYInnzzL0e4WG+ubHA3GFEXJKE6sH4SYZOzV4jVikuofB3OOHx+odHAqqYOptMJxw1gaU7FrUsuIcx2kK49hJiyjpiw1npIstAPmOw3mZ+vMday+/WiUMNdtMNMNmZ1posuMerPBzOIyvf1dSi05fWaR1159h/NP/DAXrlwmqtdRro8f1nD8wELJysNxJIPtm9z7xp/x5NUmrWaTIi55781t1uOYg9S+59Zv4Nip65j2WsFNHxP7v6+DvhCWqjjxjJw6wgiLu08wLVMxScpSMx6PLUZZFPRH1o6uP07Z+JPPVh94Nc0HKCErw2an0rao7BGVg6h4xEWas333Pv/Hb/4uQgjKoqQocnRRVMMY9qJyJlobymF+eQnpKoajMVJCs+bz5KPLRH5BPYSGFxOKjDgBz1U4SBwnxVXgOcK6T2FZEa32TEUdy3Bdv/IGkBRZzuHwJr52bKNZllMur81ENFmS2JLbGIx0kEGEkYostQJYUA3HaIkQDnPLMzzzw48hHOvVqZM+aW8XncXkZUKcjyhKCIIxzz9pJQhKHLZ6El9YrX0pBa7n4XglYa1mJXRL6zSkHAehHIKggfJ8QNkNzpQEosB1NYWraOzEdPfH7M4LCuMiwjZlOEOSb5Ln5XGTUCmUKZmZ6bDXH7B/uMNg/z08DimyiqFRxYawPUcUDQnyEtl8hGT8Pq6fM1z7Bln+DsoZV4qRxxhtnIwZxRnjcUyiNUJapy4pBK7rI9wmSteJhwO2r7/KZ//wj1k6f4n+3jq9/W27BHXG/WtfYrR2k9H6gOBCwBPPRITeiMH66yRDKLI+tcjH9+dodVtk+zc5WL1GKAS+EtTadaSURKbk1HBM/82bmLRAlhphKtqfbyeVy7xAKWkdq4xhXJRsbvW5fu0eBwd9JIJZP2DUaTCUfYqsbolOWpPlBe3ZFpkxCEJy3WTU98i0rLwCrNSCqfgS9v2VdjASmERcq+VTTDnsZWUsY3n3aprBl6VgHBe4rkuzlSmyAAAgAElEQVQ9cvl/qXuzJ9mu7Lzvt8+YY1VlTbfujHtxMTTQGBoN9IBmi6LYZJMixUEKPVgOW44wHSH7xe8O/wV+cITtsBwOhimFzKAoirPUTarZ84hGN4YL4GK4c81jzpln3IMf9jknsy6G5oNlQyfiAlVZWVmZ++y99trf+tb3tRfq6LRFoxbSH03JpSTLcoJisuoirRcF9DJf46tgGE2FDGgzOwaUTmFl0HcEGGGNUNqNgIVWiGM0Zzpt6qFnxdKw6rT98ZjHLq/zzCc2ePyJh7j83JdYbMZk4y2mkxwtY1prj9K5+Gm6O69Sa62xsP5JTu7+DbXOY9SCgMkEnv6l32Zp7aJ9D1oBBqMNrueRxWPSSZftd6/jBD4bFy+BcEiERMsjaq4HWBp1lmVEScJkGiGVJgwDFtotfM+bvw0fen28gz6ztnabKdqWbdezbAC38Ma1RYzCUUZAWnigKmklmEuD6FP83eLYKIw1FDZK4zrWMs7Kn/o4BUtEaV3opRtr/lA0moR1D0dYo4XQ91hfXebR557ll3/71xkOx4Suy2NXL9II4e1XfoBMpwg0xsii+g+e74Lw8b0E3wffF/iezUg8L6C12Kl2dG0MWlnf0jBwqIlCu9zYTsKwtQITXeF7aZogigIZQYi3vEqmDEkaEwY+QeAjtEOaK/IswQ/bJIkiicasXrqECUK0ySG3BhKpyiCT1Gqu1fP2XJJc0Kj71HwbOITjsn7xYTqLmiCQoDVK2QKeFzaoNZfRxilvMEIYjJKIQvjL8xzcCw2ml3zyOEIaY2mzmS2MphJWVtrEg0GBm7q0l9epnSjcSR+T3GOcR9T8ueM8Dtc+9485efPr5NMdLl78Obw3vofDlOOtE4ZDCB1wQoFwrMIjWlGrhyyfPc/hQQ8pJa4QhIFnC5NegBAOjXqIUJLx5ht42ZBHHrnM8mKTtZVFW7xthly9do7eaIvJQczly4dk4nn89iWWRUTveEyz1WB0coRuNDBZTj6Oafken7h4jqXWBM/zEbniQqPJmUbdFiCVxMLAhvZqh7BZxyg42tqjsdDGbYQMJlNu3rjN63e26U6SIkHSTEXM9xND279qdaM0GGWQRtM+s4q/dp6pqZEoD2uQqUmTjFxapogqRdqUbQjSSiOajYovPhgOmSYZURwxjRMmkzFZlqFkzuFxjwvDCI1gNMnodk/IlaDTWsB1HGq1kCDwK2hFOG6xTmfHCAu1lO6+hgKNtXMdC9EYZpz1kttf9PNa2jACt3DiW1tscna1hVf4Ayw06jRr1staKsVjD3XYWG2zuGibL13Xo778JNo4nLt4ztY0pEscC/zWJ5Ba09u/j19fRyg42d3l/s6E0V/9e86sr1OreVXdAyfgwqNPsnfrOvubd2i0Gvi1i2zvH9Ns1tm9t8VkInEKJpPWkGQpcRwznkxRBsssErZ/xvNcamHtI+PqxzroA+C4OH4Nr9bA9VyyaILMJClF9jBXtihbvA0FDuz5VJrThQ+snMtAMGXnnPXabTRbdDrLrK2vcunSRdLcZnmtVpPXr7/F/t4htdCjXm8SBh6+55PlOb3ekGY94KHLG3zxl36Oz3/2Od69eRcfw/LqEuRJgUFKtIJcKLIkRWuXsFYrgoiD7xt8z3KntRGE9Ra1evNUm3eeJyTTAaHbsF61xsfgUG+tECysoXb3oaAj5jK3AIfRuH5A2GihhbVr81zI4zFOMrEsJ9cjmqa8+/LrDA93+fyv/gK15UWCWh0ReAXlThJPRoQ1h3a7iR8E9IYKN/asgY0f4Pohq2ev0q7HOJ6HkREyOcTzA5xgodi4MozOEI7l8GslabfqDKYGv+7i1lzcuqCZuaTKo75ct9xobP0jXKxzeXWBnXt7bDx0BiFznGzMtavrPP7M42TJlKPdTVvwFZbDX19YQakQpRwcz2NhpU2YjxhGEyaxwW9gNV2EIM4FLd9jYbEBvovvg5cp6oFDvR6QTg3b90+oX5I01n10ltKoe7iO5sZrrxDWAs6sL+MIzWgw4PjwhK2tHjfvxbwchTz783BWCcQ0ZTKRSJPghzn3b99gY+AhB4d0u0OWWy0EDkZq2p0mgR+im00WVpdJ0wjHKITr4LYbfPell+j1xhwc91jqLDGKYnaOh5xMUqJcVQHQZsCaW9Mhl8ZdXpCXUNpCM07Ypt48Tz9RTOIhrhcS1lrcvbfNv/7DPyNJM+TcXCxP2hjNi59+hueefLzIzjPbNKR1AfOULBfB5tYBN965Ta6svWRaGIv392ucX2twfmONZqNezFvDNIrxXCtXXYRJELpi31koQ+M6VoPeCwMcx8JqcZyQZpmt0RUnAQHWexYwRpArgxHQbAQ0C5ltlKLZrLO40CTPMzzXw/M9MukzmQquf+87XLp8CeHC0rpPtxeTK4HBpaSNC2MIfAfhHKOV5riXIbwejoYwDPECj8D3GU0lteWHkDRorFzBaMXd7R3S1AXX47AXY4RP4Hg28SwgvEa9RpYrxlFMnKTESYoQtn7QWfqPo7L5/8llAByHpY3ztNfOo7KMw3tvozM5+/mpzguFUaqA+orTgWONGELPTgTftx/ZMgNC6jW7K7qez9LSErVaDaUyusf7CEdQq9epBQ6teojvO6ytLdOo1YiiaaEgaG38Ftt16jWfRrMOWmNkZienMUgtwWjyPEWrnFvbh/yHv/4OS+0mv/Klp7l65Yw9knvWZMLzrQpkWGvYDGua4hUwVzI+ob9/m2HXo9W2jIEzZ5ZptNfJ8O1RumDmmIIvrYwdkziOCeq1YtEqUKpqlEEYRqMJzaWAR599Di0V+WSMTMbkyZTu0RCjU9ZXWyiVU2+ECNellpmC+w55bhjHhvs3b3DujE/n3LPs7+7QaUmC5hrGXcTIKXme44c5YDeSaByR1FPW1lfoXDhP2G7jqiGO0ATNJTZ3Yrr7+7iuixQ+a1evsrXZZf/WHgvrHaLeNjKa4rWbHN55h7zwNwV3pi1eMITyLEelIxY6C6S9Y7ywydrFFaYnR8TZFIXL7aOMK03D7s4J4/QIlWZ4aZ90dIDjWE7/7Ts90tZdLn/qAq9++ytMdzYZZ5rvfv27vHN3i8eunuPS5TPsbO/zv/3vf8pxf8xoGvFs4xHSn97mZP8IITPqjTqN5RZH3S6b20POXdxhMhgy6g85t6roD4Z0Wgtc/sSzXPjEJzjcPyJSmnGqyOMRO3t7xFlKFsUsrq+y2R3gNOqMRwnH08w6ShUYdVncBEiVZjeKmKQSqWpEuaCvF3jp+z/G9SUXLp6h3T5Hrb7A9u4+t+9uVety1vhUDq3m8LhHrqzkhe8HaFH4WguXPFeFhIFiEiX0h9PZ6Rts4dNpcOfWXc6urxZqlNZ0pB76eK4NpLlUBfZmdbcQtpD5qeee5rlPPcHiYptp6rC712V3e5M333iLNNdF81KZ+QMFRCWEIE4FywshSSpp1QMroew6LK+tcXJ8QpSk1IKQpaVFPOUTxS7doxFnOwL8kK7IybRHJi3n3p4AXYTRJJlGuC4Ch3Gs6N/ZY62fU6s3OHNug8mozyRWrFxOCb02UTKme9Ln6GRCZ2mBw+MJXn0B0dS0m23kSRelQSpNmuZW7dOU97SQi9cwGk8+Mq5+rIM+2EV6tH2Xo537FT/fcQqVRjOzJXvQOKCCRIpGKi0TgsCjGQY0mw3OnTvL448/xtLSEnEckUmFUqWCnW2B7vWH7O0f8c47N+n1x4UsxICx5+J7Dq1mgzi1ZtjG2BbuoB4ijUZmMcJIhJjxyREuvWHMH/7xtznpjoARvcGQ//6/+3UcYbW2y46+LNd8/evf583/5V8R1kK++MUXeeKJxxnt3sd34Hg44SdvHODomN/5nX9CPtJE+YQ0s5CKlopht0ctDJFZhtYZkKKVAGMpc7b5zKsW4IVrn+SZz30Zxw155Xtf54/+4P/m7ErAQxeW+Jd//AqBJ/gf/tsX2Fhvop0meZbbwpJwcf0mBCtsnQQcdI+JxwFf+93/iW9+60f88t99jN/5Z/81P/jRHfwwR6mEa488ytkzK+S5wXNCaqmhKR2GfY8nXvgCN169zte/+l1+7cuPcNJLub8VsyAMTm2RQ7XKf3jjHrdvH+KdWWNjY40z1y7hC8nu9h6Xrz1KZ32D0XfepdZ2wGhUOiYIUjIn4Yd/+nssLRjGoxAnXCdTIff6MT95fYtLa+tsDRK6asxfvfpDbtzZ4ueeukZnOefe0VfY3dqmEQjWljvc+vYPGH3te/gqpl5zud+N2O9NGMTvceHCCg8/doXzFzbQ0vDyq2/whauXWF1d5K033qPbm7JzPKLRqtHuZ7z+xi18z6cXGybjEWjN/niK1rCYGCbvvUd9Y40bt2/hBg0OD/bYvneb8xtnONjb5ZELa4wmE1zf4/Lli2wd9qvsvpTwLcERY0AZ2BmPuHkwIDy7SD/3+YuvfZMLF5cJhODevW2ee+4SQjgkcYYALl3c4IXnP8V3v/djDo57M+xYQJ5nBWe8ZNnMjEJKcTCD1a+Zpz4WlQEGwxHswHe//xJJmtkuVMeagi8utonjmIPjgWXVeYJHrl1jb/+AaRTT7Q0QaFwhuXf/gBe/8AV+9MPvc3TSw3WsT28JB2dKkmaSLLca/rkDUSZJckUqDVLbk0H3rTu0Gg3QtnaUaQ+RCcZTzeHhhIfPGcKmB62QNJcMRhM0Dq6nC2MmqIUeDgKjNKNpxrvv3uGRq9bnuTfOWFpYROIwHE9peIp337lJGNTIMsXRcZ/FxTbXnnia/ru3Efd3KGVohHCK/gI1A7yE1dx3XJcs/2if4I930BfguBa/E46xAbHI3C3tyk4wVUgch0FAo1Gn1Wqx0G7RaIRWmc4olhZbdDqLNBsN/CDACBepDJPpmCTNGY0mnHQHTKcxaZoxGk2J4gStdFXYcwovS88R1MMAIQr3n0LqWaCQeUqc5yiZ4zoWddRKFu3nhijOSDNVdAQbDB4UGiaOY409XNdle2ef733vdUbjFDBs3t1kdXmBK+fP8MKLnyMWTWIV0D88YvdwzJJoowCVJpDHZJnD5p17NEOfhx+6zNb9W4x7RyyvnkUbB+MLpNZoKfEcgSM83rp+i3/xu3/B+bPnGU0y/uYH95kmMWdWl8ikg6czRhOH1bUmO1t1Dg6nXLpYJ2x0+MznHmUcZXS7XY4PbnHx4hd5+06P7aOYW3d63L8z5ocvt2mvHSPliJde+wEPXVhj2DtgtLvDpScucaebMjEO2dtT/s1f3uJ739/lzTsjfuuXPsXGxctEE7i/c8S//udf4bV373J+Y403dlzorPPma3u0nRGrLY88Nxx1I27c7tJc6mC05OarX+XaeRgeSm7e32N/7HL20hXGqcsPf/Aj2q0G1+8MuXmQ8fwnH+PN7UMS6eCES3z7xj6ef2INs/OEixvLvLN3yMr6Btvb91lbW+H8I4/yjZ+8Q2thEd8xfOeHr7Oy2qFRq7HeDllZrOGhONjrcXQy5mBo2RjdeERzKhFeSBRHPK1CTrwa05UGcW64s33E1tGAUZZiVMbW3glxmjOZTgnDAOP5CEcQZ4rrN7c56U84Gr5ELj9Ag8XMmtcM0E0S/uBbb/GF1OfdW3fJZcZkGrO8vMJgOOLs+YjWkigahQwvfu55PvvZT/Pmm+9wdDKoeoCMNrY+VGTetqZk103ZLGWtIzWYgsdfbASuK2jW60yiKSe9IYP+kIvnN3Ad2/UaJzZZm8YpmZQgBI899hhr6+vcunufNJO8885tFuuCv/PF55kMjllouqRJbLN6Y/s/Qj8gCALyWFUmKaqAu9JMkWQKpQVSw2CUkmaK4VTRCENwa7jTnDYhO3t9bt8/pBXc5sq1q6ysrjGaxkwizSSKieMuQRDg+x4bZ1ao1yGaTgGXwXBMbzim3XZYMi6H3SFxlrHRG1JbXyCKYpQSHHeHFuLVBt+vo/AI3RBXOChh+yGoNlNNKQHteUE11h91fayDvue61BsNHNdqUASBPX6VWX65CZTZfBB4+H5QmC5rPM9ludOmWQ9ZWGjS6SyTS0V/OCHLE7Jc0R9MmEwjxuMJSlpmSBD6rKws0jG2DwBjiJOc/YNjWo0ai+2aNTQwhThT2SWsM1756lcYn/RZWliA0LM4fJrSPelx/fW3eOvGPSaT2DIIHEgywU9fu8tDD61bGzXHfq6VzhKtVpPROEUDWa446Y/IFHSujNneO2Zn8z4NT/HjH75MpiSPPHKNhdBjeHREe3WDKw89RG9/j29/45uMxmOESlHymB+9/CoXL27wyNWz6DylWQsIvRq5cfjR9TuYNzdJM9uMs7y4QK3e4mR/n3bNJTVLTKJVTgaKSfMp9lJFy/cYDxNu3rrHL375txkMLjOOt9je3yXKcm7tR/zJTszWpzss3hmjD49ZX15nZ3fIj374UwbdA5ZXN7i7d0Jy64juX/+E12/cRGlNq13jXt9lobnM7f199rsZW0dDMqUZTSLqrWUmseHl1+9yvuPx0IqD29jnR+/d5J2dCVceTnj4isfZc5eI84DR6A3evnvMQKyx8fgKJ90DvvDLf59zG2s89ewt9u/e4mjQw23UmR6PGE4ilFKk2ZDHrl7EbQb0JgnKGXHukU/wyU93+OpffYN/8++/w2g8pVEPWWzVWWrXGU8SuuOYxUbAxtoSX/nuWwRBSKPV5t17uywtd2jUa+yfDKw7WJ6SN6Y88vRD7LmSG7d3bKHVOBx1RzjOLo16g/WVNsfHXQbDEf3eMf/0P/stXvrxq2weDsAIJoeDoi3fwRG6kA8si5glvm5QBu4f9Nn+829SC3w6nToPX32ST3/6WX7wg5fZ2TnizNlLhWsU/PSVN3j73dvcvLOJAYKiW7bdaXHlyoXCJcq+enmVeL4umXMGXM9F5cXpQxqG4wmqdJFyBabwFS5NbqIkZxKntvHIwP37O9x4+6b1IlAa33XYOxjwh3/01zz59JM4xlAPg0qzPpMKE0WESlUCbgYqR7koyTkeTFnrdPA8B4RriQu5QWuJcDJcR4JM0SojV4K93oB6f8CCMuQKRtOM0SjGGEWj0SBJJZNpisa6cS0tL1sLSgy9wYjR9A6tdpt2u02SpphCJubwuMs0TmnWQg4OT9ja2qOd2AJ6LhXS2L4IpWaCiKKqccykmj8yrv6/EZz/Y12O63Hu0iWWOgt0lpZoN5vUa3UCzy/a7gNc30PJwoDas008pR1g4BcCYY6VJRDCwZWKjUYH1/Ms7msEucwLC8as4BY7jMcToGjrFoIoyXjznVsMTk44e2Edz3NQxjCYxgXnWCOEYXfzPu/evM+Xfu3XuHvnLm+duU675vEHv/+X7OydFCwjW1RSGnYO+vzRn73EFz9/jZ//uU9WEJZwfZI0L/Q4DI4jaLXa1JtN7m9usb19QBZHNJbqvPzy6+zt7tNqfZ9PPHKFyw9dwFtYpR7UiKOYk91D9g+PuXf3LkEQ0B8M2dq8h+98mnY7pFk/w617R7z+xh3i3BAnE9IswxE2gzg+OWE8iRhPNP/yT1/nH37py9Q6l5CNJjeP9hkf3COZTBn0h2zdf4/VjTdxW69y8WLK7TuGW/cPSP7yqzSee47x7jb1KMOYAXduvMXJ8QlhGPKNH7/Lva1t1tbXi5tvRd1O+mP+/Gsv8eu/+dvkQcitzS3yPC/MpR2arQXiOGcyTbl+dMD07AJfe/3HXL87oNfrc/lsm88+8yieabN5d5PMGHaOpsh6i0mS88KLX2Bt7QyT0QDfgQvnN/jTv/x3tNstDo7HTKIEbTR5lhCEAYPBgJ3dAx66dA5daDHtHnbpj2MMDuMkJ1OGM+trfPpTT/HNH73K4SgmF1Ni7ZFmWHlcz8dxPIajqU1CshSM4S8GuzzXa3B00mcwsVCD1IZRlHKxVqfeCJlGU6IkQQh48TPP8daNt3n71iYGe8RXhfRvo1bDEVlRgAVb4LcBvwr+xuLAudI0my2uPHyN1994j83tY+5tHrG1c8jNW/fQRrC1e0QUx2ht6Cy2ef6ZTzLo97n68CWeePxRksm0KPBim6a0dcvSc3owrmvJC2m/9/7gZAxaGaLxhEbgEzZqxGlu6ZuqNE4RhGGDwXiKLOUelObe9gGrS232dg75xt98i43VFQ6P+gwnkWUdKUUiZSU9ISitB4V9TpZwaXWF5ZUFfD9A6rwYF5C5QiaSwWiI0g5xnJNEGXmmyXNFrVYjS7ukqSQIXPb2jwtWU06zVWPQ6zEYThhNIo77IxYWOjQbDdIsJz05YXtzmyuXz5EkOf3eCA1IGdEf9EiiiBVcktGE6STCqQVFvCs2SWa9EGUy/LOuj3XQX1ld5b/8b/4Z58+ucvXiBRphDd/zCDwPR1gKZ6W1UWCWtgmjbMUvpJQxpzQ5RHHTZ9129jmW3mVRxhIyKuleUhvevLfN33zj2zz71Ceo1XxOTnr0xn/CztYeyysrPPPp53j31h2uf+tl/vn/+n/S7XZZXqjzzFOPcHjYq1gEpbpg2U44jQ3X39zkM88/SrvdwDgBr772Br3+uMLbM6UYjsYsrayQZxLHcajVakhp6Pb7TKKc4STh8GTA5x2XSISstFrcfO8242lElGYc94ZIZSWHW60aeS5x3RbCq3Hz/j5vvnMbR9u2+cSkGCDJJXEqC0s7+O4rb3N3q8eXfuUfMDGK/f29Qg7BY/PwgM0//D/4hV803Hx3ShCeo91OmUQRR9ff4IrvoYygN5zQPz6iVgupN5qMJyNub+7w6KOPECcJt+/eI05SwjAgyXLOttq8/c477O/us394RCnQlWU5aSbpjkb0hxNcx2UqGtzbO6bb7aONIUlcVtpPIMcegyP4/a/0ubE7wjhj1i9cpNVZw3orSO5t7bG9eZ83371Pe2GBSRSjMTYT05ob790hzy1Mh+uSZDnf/tb3Kl2UYhqijaA/Sfj6D1+hPxzz2COXefFzz/OH//bfMZwkTPcPQAiSLGM6jdHaJiwYzfnzZ8HxGUc5SZ4jtSLLcqTKeffmHZ57+gkczyNKEnzP5+VX38F1HaJEYoOi7YhVBaThlo5NubSiakafDgxzEgNf/Pm/w8FRl8OjAVIa4jjhtddu0B+MUErbvhMhWF3uUAtDdvePSJOE3itvkqUZ1y5frDLNXEniJGUaRSRpWpigW4aUMepUB9HMMtCujjzPaDfrOI7DJIqrzBxh9bUmSYrU8w2zBs8RXL6wwdHBEffubvH5jStcOXuGG/e3yPK8bN6l9OktvaIB0jQllQY/c3BxCwl1a4+olAFc8lSRThO0EmRJxlp9kf5hn6OjHrg+/d6A/nBa2bhqLZlOllhfXWQwGHJ4fMI0SYiSBKUHDEZjm6A6Lp2TLgbBaBIxjWIQMI2nJGkCRpMoVTW65fnMYazC1+wWBjh/q87cj3fQX1nhN/7RbxE4EBTNlS7gCWbKe1UbnqiaMuY/ctm4Nxse+/yi/l89Jpi9psHSuir9fsBDsLq6ivZCWisbLK8skRMgtWFhaYH1s+tcefgKe8ddskzSH9gj63AUcefuDtKUrOK5gF82sxhQeESpy0+v3+f6m9vceHvTMh7KNmStiaOYg/0j2ksSV0AURwzjCWmaILV9rso1L798nSSWLH/qaQajMa7vM41jjBF24QmB5wU4bkC3F7F/eIt+b0zdD5BZRhRFha8pDMcRYS1EmanVrdeGzaN9fu/3f4/O8grCcYijCbVaQLPVYDrqM/4LQxgsENRdFhcXCxpfyvZr120R66QLxrC8uARArhSrKx0Wl5a4d/1Ne8LR4Dg+WsPJ0QknRye4roeUM50e7TkcnXS5d9dKFEspSTPFwsIiYq8LBm5uHvDa63epa8GdrR2GucaUC1oqTo5PWO6sIPOcOJN874cvE8U50+iYNJcorYqub8FoEmOA0HNpNRuMhyO2t23DmHBE5ZyktWaaSuIMXN/lN//Bl9nb20cqbRtx8hwpJVFxSvQ860omMKysrnD+/HmO+lMmx11ylVUiYVEqeeWNd6wGvQad5+QapDEoYy06kRKlrO/tNIqsDHcBw6RIhMZi2boooRpLdXYdh8FwiFYZFy+dZzyeMo0SQBCGtlgJlm64tLjI0fEJvf4IrTVB4PPa9Xc5s7JOllsIpQz4aZaiKuE5Y83DA59a4BOn2Qeu+zPrqwSeS38akcvCexcorQWjOLbrtioECzqLbZRU1puanPe6h4SrC0ipKJv0QMxZRJYSyIWpuIAbR4dca3joAue3TVTQH00Zqwm+cQi9wNLAM4XSOYdHXZqLSxwcntDrTxiOx4CFex1H0GrWGU1iplFGnGT0h0PabYsmBK6H57h0T06QuSLNcqI4RqGRMqPZbOI5DgsactnHFQ6JzIuxKCJVkQAZSuHIWZT7sOtjHfQ1kOSa3BXEQqClJnAFdUcQOjb420Bvw7PSpdzrLNAbik6+IoRbRQyBBlv4NHYQPDEL/qZ4jlM9375uu9XkN37jNxDCQWqJ0g6j4YjFhQU2Njao12ssLi6SJAkUDSW51NzfOqrYE6fc7qtzCByfjPm9f/U3DIfjSsaVoiFLaKpFMxwM8HwfpRTDQZ9c5tXPKF5/PI748Y9f4a3rb3F2bZlGs0F/OC4oXjZLOOkNeO/Wpj1OjxJ6x12iyRRVFNyMNri+S5wk5EpVG5BjrGE1BnzHUt+yJCWOpoxHIyxb2eHqlbrFM6dTsiyn2Wha+8vBsNJTSfOM0iZuY2OD+5vbTKYxUqpqYWJgPJrg+z5RPCCOLazhug7nNtYZjydMp1aGQTgO42mCl0o81yGTOZt7B7z05ut86hNPMPQErdU1FhQMBn0OD4948ulnrSBblqOULLyOXbQWOMhqrhgbHTGFB8Kd2/fQeYbMJa7r4ziqMKenYsw4nsv66gr1Wsj9e5uW3VI02GllUDKz2i/KykILNG+9c5P9vUNSaR9L06wyEDfGnjhLZUVtNKPxBNA1QAwAACAASURBVIMhy1UlHUxRa/I8l8DzyLIcx3Ps58hloWRJedDEGE0uDUdHJ/zWb/4qg8GA+/e2UdoQp1mBt9tAkmY5uwdHBIWpj6VCWhPvJM3IckmcWLlwpbTdUHwPH41SOUoaal5Aa2WV7YMD23zHbEk4jkN3MLIesK5XEDbKtiqKBsl8bg0JEIZWs87hcQ/HC62ESpawYRZsejcvm47AaIFSBscxBcXU0rmNFzDN7T1S2jbpCeMgMCipC7N7yKTkZDBgfe0MySSm1VkhzXJc30cq20TlOoJpnJPmhuHYJkxVMllsVmmWIh2HyXhMnmU4rmAajVHFOnYcl1wIfA2hY/sSZKFJVJ6cKrrmqUD/n3DQV0oT54Kg+EhSCjIlSIWh4ULLF3hOtdkVkqSAU2TxwmbRUgt08ZzCQB5VLKAosbtyo+ZUKn+B5+AK8EU54SDT1q9zZanJST8iTXJGoymDbh9XpnjCcHZjnTAIKW9CqfUxs0Wbm+Al/QjAWAnVk67NEirubfGv3NWNAZnnDAd9/LBWGTZXm8dc8JdKM5rGpNkhYRgQRUnl8BOGLkoabt/cZGlhgeFJH5kX/P6qicdqdbueZ/WPjK2NeK5Dnuc4wiFLIgwFXa/4jL5r5V+lzDnuThiPJ7SbLRqNJmmazjYebKamtWZhoUW92WT7rbeZRHH1eaW070nJHDmekBUuRaKQmWg2m+zs7DONEwv1acuuQtj2+WmS4XgOyhP8wV//FVuHJzRbC7hegOMFvPHW2zz25FNcuvwQw+GAeDrFyuEWRUcsBm2wC7nETpXWKAUClyAImSTTajOtpAEKqQjPL3STigAZp2l1ytTWG7OSIjYIxlFKs6FIMisqVxY4y/trm6Hs91qbIgOfdZ2X86azvMznX/wMu1vbbG3tFElhwZop5l5l1G1A5ZpXX7nBuY0NnvrkE2gNcZIymUaFg9PcmowTVAET2pNryXCzmZNbcNMd18FocN0iC0UUcg8ZS4trrHQyxlFEnCbVvNXAIErwPY9aaNlAKi+8aqtTfTUiljHkOvhByDjKiCfTIjBCfzixZItyUjDDvysxOKiaH/eOu4yjhPXVFToLC0id2jVnAKUJCqqkVIqtw30urZ9HKIHnWB3+Wt3D8azRTOD4YETheOUT1kKEgDRNCPyQMPB5+FIdr4Av0ixhoV1H65ysMI7XWlILa2TCpVZsXPaUpqt7MpOJn/nxViYBH3J9rIO+lIrRMLFWaK6DVhSaGILANWy0fTrNeX6+IFcaLbHHX2ywnqYKhaj8Le2Rj0r3Ogg8jCcq8bYQgSsMDc/BE5Aq6I4zpIZpFBPHKblSTMZTkklE0xeMhz2Wlzo0mm1gZoRsTMmZNcU7FNViK+fvKQxubuHOZ++zH2twHGqNug2+MkfrD5CSpcjCpUKptLJeM0YznU4JfR+hFIN8QJ7lxUnJZoqm4LppbfCFIEkSHGFYbNVxHZfBeII0htHIWFlmrasOzHro0243AIfRcILnuiwtLqKNDVK1sNi8ZD6H0zr8+Cc/ZTyZVktaKc00jizPucicxdx4SAW3b99nfW2ZeYc1ISDNJFFx2kKD59a4v7vP0WDEktRWtC5NieKUP/7jP+GnP/kpw0GPVrNOHFu5gmazhVRWMdVzPWCmH6OBXEO3P2GaZJYv/cD9Oj4+sV4HvuCkb09nvu9ZnnoJYBcJizYz/fm04IwbUcJFs01daY2jzLzAJHkuK2pmOQU8xyFNEl6//iZLCy3OnD3D1tYuuZyd9IwoN6nZ3ByNp/zJn/013/zWD4mihChOizl8el1aiY+06ivRjlvNHa3s5ui4DkKL2YZmsM2MxjCOYp46e44r166xtb3NW++8bU8oZYIlNUrngGal0+awO0QqU41/NccLnLtWr9EdTuy4uS5SSZTUZMNRodc1S6QqmLcIlpW8iTG26SlXjKcx9XoD1/Gszpa2/g6eF+AKC/sqra1w4SQidAR132X3aFjkcg7tRshiPUTlEt/3rA2jI8iyFK0lZ1ea/Fe/vkw7SDkeQsff43NP+Kz5K+zuT7i7l7DbmzKNItqr6zSaTYyx3geFT0vxnxKqcgpxOFXUIT78+ngHfaU4OLRYrle41LuO9UWtBx5x3VDPDYErcITNlvPMkElrfq1wkAikcazdn1JoZd2wAt/F9QSeazORkmNsDGTKkGeaqJCIzRXkUtDrDRiNhjjFTR/0esgsxa+3aNRr+EH4oYukzIAcSplZeF9QL7+f61Z8X1FGCMKwBoUG0ezhBw2jra6QMQYtZqYjNoM1ZEYT1mrEcVLVMqSydDY9tyElqWWVNGseZ5cXiZKMyVSw0F6sIBrXERQxFyU1k0nOcDQmTjIW2k1ajTrTOEMgadYbKKXI85w4scXi6dFxkQnOj53NptXcgQhOfz2expw759Nq1un3+sgsByMYjMa2SQ1YaLdJpaI/mlSwS64UWZ6hjWE0GvHWm2/iOg4L7RZgj9VlkW+WPVOdMoQQTOKE9PC4gIW0hRhFAR4WmZeUknub+/zuv/gjHrp4thIMLKW93fKkZmb3T2nD0UnP6s+I2ePVvyIztwlMcVqggDONpfsuLS4g85ztnX367QadpQ6TJC1YYyXxgeo0XCUfQJJmHByePDDSp+dyRcPUpmg+tEX1KLK+FlJK4jQpAjmn5rQAMplzZ+s+T3/yKWr1+ql5a08/Bowg8EPOnT1DdzAuegUsK8nzfOtBXMB89XqDSZKhMVWDUqEOUTSHleNUnLCMwWiFyC2Dx3NdVCHrkMucSRTTjFMaofWxFgLrw+EVjU++x/F0ykkW8ezDT1Ov+Tx86RwHR0OM1iwvd7h29QJLCzXiZMjqSsja8kUODu7i1+r88t/7DE+cG7OyGOOIGpebHip7jXpTE1x0EFGMSl0Ohw6jccI4iqmbjCTLLYtp7uRfqA3hOhROWx65nBELPuj6WAd9JRWT8cRKI3gevm8wrsZ3XWQOx90UR9ZYaYcI10FKu2gQDp5vJWbRVMYJvu9iPLdoV7YcYa2BDMAgiskhc00SZ/ie1fMQJW4pFcIIGwiB44ODIgOw7lWO4xYT3S6GKrsvcOswDBEIksRYuYi57LA8ZQhOwzTlVX4vgCRJ8OuhZSfNBwQzv4HMIAotZtkyWNqDETZDiOOEWmBlYqVSSD1z9infl+8JFlt16vUa4yi2Wv5BQJblKOHg10LG2p6eHrv2MJ/93At889s/Qso+i+0FamFAmkmLMQc1MiXJ8pwsz+ZgCU69/1mxmwoqe/DSxtAfTUiyDCUVaa5oNQJ8v8jusMXur3//O6RFY49wRGU8UQXzQm1R6cK0xTFEUQTGmrno+XskZhrvSZoWImZlBlo2zNixLwXJ9o/6DEZTFtsti1tXoKGdS+Xrl8FUKgW5LaBCPrv3Jbyk1CmWhk0qBAjb6KS1ZhLHKAOD0ZTBKJqDAmbZrpmbV+U4zx6bNw+ZXQ+aiRtDIbSmyXKF67gWu3YsXGozT7vJlnUtbQxb29vV/VbVacC+N13cuzjN2dk/Ipdljav8mwVdUTj4foDr+Zgsxy+o2sbYQrUyGscRpxKxitpYLCZR0DYtQ9jW4HQU0xsMcTpLtoaTZcg0Yy/rVhLGKpdc7+4RXX+Vx558nL39XS6cW+OhRpsz58+y3GlSDwzTkc9CcxnPNbzyyk/xwhqPX1nDzQTdaBHhwHA4ZBIlTGPNjXcOubvVYxQLJpmD8OsMEkUDW8w32lT1jRLPN9o2w3muy9pii8HIcNB9wHhm7vpYB33AulAJgdYKrRS5cEiLhdOuOYh2QBLFhL5PmkgrfOS4KOGSKUMqNQoH4bk4ng2+SoExFvuaJLaY6DoOnidI4oJeJhXatcJo5VHSaEMY1pBFFnm4t89Ce4HllXX8AsuP4xQodbvnubRWtrkUfTodrE0FXfDAopq/KgxSKxaXlsjSrFqk85CRoYyg869hMEbNFrwusFltF4Y9UlPZtDkFhuo61u3I933G04jRNMZ1XMIgpFGv0+33aTTqhLWAJI75/Ode4OlnnuHu/T3u39+iXq/TbDRIEkub84OAVqOJkpJ8LCt7vfnPML+wy/Erx0UXAc4TNiiOJhH7R91iwzRce/hxnn72Mf7tn38LbQxXr1zAEQ5HvaH9Pbd0G7IwicYUUsmzzL6UzSizWgvHm+p71y2kp4vssYQZ5rtPdcH6Kcc/ijOkHFILfRbaLY67/QISmwX00xmvPvX7ULBMzExeZH4zoLhnBhhPo4rS+GDGXgbeD5pXFfQD7wv48xn++16vKC4PxhGOcMiVrgJr9T4f+KNaaza3Nqsxq95DeceNIEolyVEfilpYudFJKW1XrSPwPY80ywFxisJt5Z9t4je/jBxhKcmlDDmYgvFyelzjJKU/GpEkMePxxHrSFvXvRr1OzQ8YJlNubW3SXumwtLxIs72E8HyiqMf++ICFVkiWRox6kuk0wtDg1ddvkGc5eZYyHE+ZxgnTKLasp1witcDzfRAOjuPRWa7z2FOfYnLrZkFdPY0AGGPQ6KL+Jbm2scqwGXDQ7b3vXpXXxzrolwtMaYXIQWiDNNYNx3UEmeOSxAmuFOg8J00UuRFo4aMdzxqGaIEWBqENKreTs/S+tEwAeySWSpOlEq1KRT5rPmxPBTZbUVlGe2EBx8De3h4nB4c8cu1R3MA2iWmtSZKkCl6zhWyzi3llwBKSKwP+g4XA08Gaua9tw5Qf+AjXmSsMA5ritXT12rPfO0VsxhiD77u2WC2ExfKZBYQCbMF1BLUwxAiH3jhCYznOeZ4jpSDNciZxjOsKFttNVpaX8XyP5ZUlPM9hbbVDvdYgl4Ywl0RxYptiHGeWcXF645oP+GAX8HywEsY2q33m+WfYP+7x7s27GG1whOHixXM8+eQjfO3rL7Fx7iyNRsCZ9XWuv30Hg0BKRZbajdwpsr5a6NNuN4ni9FQNoRwH2/Z+ambO7quYKw5WQUNVvz//+bJc0mzWkcpy78uc+/3QHA/MpVkQLjeDD14vkBanpweD7GksfPb1Bz3nZ2X4869jMXGNcCwdWCmNV3DgpVbVKffBe1q+xvzm+uBnseNrFSVXlxc5PLLdqkJYyRVjDGEYnmoAKwvG9h6pU5sqUCjx2l4e25zl4oUuSZLN6f8rBsMBw9HQSkjr4nQM+K7H2soqMss57vXI8py337lFnuVWcrnRYDKZ0KjXybKU9TPrCGB3d4/d3WP6o4hvv/QGwhEFI876Y5SFakc4BfnEruE4SXnpByktrZHVZmrX8ew0rAlcg5ER727e5gOG+tT1sQ76YDE7G+SdququtRUMy3I4HkzRTZ92PbQVb2MwjgajMVjKnypobEYUtDVD5TlZduglSUaaxjjCZrZS5jgFZpjnOUkS4wJxFNHrdokmE4bdI579/Ge5s7kDBRMlSdJCrrmk1s1CaZnxl5nP/JEVHgx85Qg8kO0X72F/Z6961XLhmXJyPpA1z0DbWfFLIGi3GtQ8n+FwXGX4JSyCsU2xy0tL1MKAOMvA9QjrVlrisN+nhCeksoblSZbz0k9f5fxDl/EKLnu9Xufw6ISdgxP6gyFxklTt70o9qBHysxtLyjEQwvDCC8/y/R+/ZnFqx+A4mvWNM2xsnOX8uTN8+Vd+gW998zv86t//Etdv3GZz+xCw8EkZYhxHsLLSIc9t4VA4LlqVGb2Dtq2s1grPcy0JwMxDOjMW0unMXJy6r8XwMxhOis/w4Se68rHy8Xle+UeNjzGgSyhDcGpTLV9zPrh+VJB/8L192AZhjMXYG40mk+mUWq1RFJc1DgLf80nTD5cG+KDHZ0yUIvFzBKsryxwfd+0JtGA8lSKLZbCWuSxkWezpY1a0oHotoKhtGJQ0uJ6pkhiy0yfwU5+/+Np1LXFhEk2RUjKNY4TjEo+tVWu73SaKYzqLS3RPuvS6A+q1Gptbm0zSCG0gU/JU/UoIa29aBn/HAaHsutUyYTQ8JvN8EAbPdaqEURs75xaaNX7zFz7LlfOrNFtN4lzwP/7P/9eH3tOPddB3HEFYC+2Ex2pUYyzPWRibgU8TTehYL0ptQFsUFl0ig8YWy5RShaSBqBYtgOOClookTcjSDIG1EcTYphOlio69OEVJyXAwJIqmHO7vkkQDag2P8XhoBZy0RGvFwkKbaaHZYrsBStjAFB2Jc5NqbvnPB4cyUM9nVCXUoKRkOpmw2OlU2Y22Vb3TUE+1sxSvVp0oCpW+XNKq1cmlrLYWM/c3A9+nXquhjMb1fJRWeK6Vyk1yWXUHIgSuEEhtuHP/Pj/+6St88zvfJ8kU3/nRywyGE1srMKc3ISGYuaE9kOGXh5LqfZeBqfg8Wmu0sdxwK6OsabXqPPrYIzRabZY6S9TrdS5dvkCn07EFvqL4bSqKpP3/yUmXWr3G6moHB0G3O7RjpO0p0HFgcakNjsvBYc++/7kC6HzA/1mb1myh/2wYr7wP5Xsv8fz5YD3/u3bzf1+SX10fFOTLBECUr1d9LvMAdPjhARpsATTNMuq1Bo7rEPoBvueR55I8T0+diObf94dBRgCuI2xdzfPo93vU6zWUtow013UIw6CgY9pTe5bKggdfhnqrS/NB410mSjpXJImwvRP6Z+vWpHnG3uFB9Xoq0vSGA1QmEUbQWVmhUbAN0zQhTRM6naWZJwamErArL6U1QtlxcUVZYxDVGtBakSmgMFqvkkVtN8Za4HHhzCLnzy7TaDRQxv/Iz/CxDvpaa7LMNrAEvo/vujjCt125rsAXAk8Y23hSGSA7mCLzksqQKkhk4RLvegjh2hQWu1NmUiPzvCqOCaNRCIxWpOMUoyRZmloeO4ZcSiaTKbdvvkdnsUG9YVkWQRhWE6ZWq+MIG8yiaFqcNAwyn1mkzS4bsMo5WXpzPriY7WcrFo1rMXXb7q1sEKuCqma+llBe5VousWetFMYVLHSW2Nk/YBaK58cfoiRhodOhtbTMoN9H5Tm+o1ldCyxLYzKxi1vlZFnK6vIyzz//PGnu8Kd/8pdMxpNTr2s/i55tYuX7qeiJ1TNPfQb9wJlVao0pqGo2iAhqtZDFxSWazRbtVhOV57z4+RfY2z9k/+DIajK5HqrY5LSxhdr2YpvllSVWlhdI45zj4z6gqmDuuQ7NRs0a+jgzmmOZPMyywwdn8N8ePvmoS2td4fnlNasfnMb9TVHXmR/K+Z/Pv4fS7Hv29azAabHi2bybh5QeDIyyaCJT2nYmB45fMKWsFaDSiiia/K1OcfOXTQpsHSZNcyu6mOVIpamFIY1aDYPV3ZeiKHQWxVs4Xff4oI1VFDRKXZAY1ANj+f73YzerJEsLFqHVh0qzDA/bDBhFEVEUIRYXQVhrQ1PMo+pvVGdqixxqTNVbgBAFm65ckWLm/jd799VpHARB4FFv1nFc18LU6j9paWWL/VaTUNsbJRyBJ8Av7TmNIc9VsXsLtMmRRlgrMS3IFeDYhhE9t8faTlNpKZQyL4ohqmjSsq3sMk3J0rTKuKI8IstS9ne2uHL5AghL5/L9oBJTczyPkFmGNplMbOFS5pSGxvOpohHWLct1XeI4nj3+QcfxOQx+ZaVDGsVM0qzY/jWVKUqRJpSNKcaUjKLZwn7o4av8vV/8Rd6+eRsj0+LIWVrOGTIpGU9jHnnqaT7xzLNsbe0w6J6QRglhWGN5sUWI4Pj4iLfevkFS9ECEYcgzzz7N1772TdI0sxP/AcjpwcU4w35PL7og8AFBls237NvP5vsBQVFkFgKyTDKdxnSWFjl39gxvvv4a/8U//Sf84R9/lSTJqTfbOI6LLrI/ozW48PN/93M89cwTHB/usXl3n5vv3bWSE5XmiYvv+5UcsG1311VnLOUdE2WafTpAflRRdH4sPiz7L7N7p1CU/UiY5oEs8sMuIay93qlNoAr6xnaiGoMuPJbni8gf9Fo2Qcstu0QU88/YPg7Pt5vt+3H7j4KrDEpDnttmJcfxuPrwZTa3dokPe1Zv3/PIpCx46yXMWQZ7+xrz4/lg8uQArusVPTX6fc/5MNhNg7VMLZEHrcArehW0olYLiyIxJGlCLjOEK5APSB6L6j9FA6f2WOqcxfMEhwe7mKKzVzsaXFGFjFnh3g6z73m4TkCWKfJck+uPzvSdj/zp/8+X53ksdRYIwrDCzKWUGC1x0Ahjj/i5sq3xuTJIqa0qXm6lSLNckklrmhDFCVEcE0WxbRMv8FkMFR0qS3PSgpJZeuaKInMoO0RlljLsH3Px4kULcUCF9Ulp8Fwfx/UIgtBm/Y4LYobFnVpg2AfDWsCFS2dtF+OHcKR10YmnlSZLE6u2pzXNggr4IMRgC1kKYxRCzETnTFE8eu6F53n+xRcJmk27AWpdaIzPGlZyqajV6tTqDZbX1gjqDZqLi2xcvMDi6jrTJOHuvXsMxmNyqdna2mUyifA8l3a7geedzlAfDPhhGNBsNqEirALMag9hEFAPA0Lf0ixn1EhBnmf4gUu9EfDJTz5Gs1mzVn15zi/90s9z7doVdncP+O4PXgbh0Gi28Ku5ZEOj57k8+fhVLpzp8PBDF4im4+LvUMhc23t1dNyj2xtZLFWXGuZlMXA+8MP8spq/1x8EMXzQ2HzQY5XFJ2UCpE99X/2tB9gw89f7ThgfEPCFU/pR23qW57i4wqk2iBJmevCz5FIiHMHiUpvAt+OijS1GZ1lWUGGd97+HD3l/xlB1nippG5yefuqTXDh/rnqu0pq4kqmoQCpM6dyOU92vcvzKr6WUhfSF7d4u60xlcucXTnUPjuX8Zq20ssJyqe03UVqRpDHDyZjeaEiuJdM4Ik4SMpmRqdwmsh+yuS8tr/GP/vF/zsbGBYyxsE+WS9JcWlIJojCoEYU/dAn5aYRXQ4mATHtoN/jQMYaPeaYvpbQ6NtgMR2n9/1D3ZrGaLVl+1y8i9vSNZ8iTc+bNO9+qujV1m2obC6PudrcEkoWxkZBBwhJGNg9YvPAELyBZlnhgEBIIySAL8QCGByRbTUM13Q3uudt2VVfdulW3bt05xzMP37DHiOBhxd7f/k6ek5m3GonboRzO2d/+9o4dO2LFWv+11n9hEEGRRVHw2gcTSeswUQjavpLoHaCxwlLZhIIoQkErZQmV1qhIC3FP4OJAqUA9ILH5RuvgJJIE+rpY0JQF080NzhYFPmh81rrAXCkp2LintQdUCw+02oTYHltbU/7MP/dNPvroU5Rd6SgXwTxNXeMV5PmS6eYG8xOJMvCtCeh9gHJWQmMFpciES7OMr3/zZ/AoatvQ9OGTsDEJ/igLJY5jqe0Zx2zu7GCiiIPDI97/8CMe7e0Famk4OplRVJa9/V2ePNljucwvfLfSJyBADNkgpa6ajjJWxkcSpa5sbdA0DZ89fMxkMpaEMgPg+KVf+gvM5nOapmA8zqiKJQf7T3DW8o1vfIXf+8PvcXh4DDpBG4PWbbilEGpFRuGqJdqVbIwyXn/tJf7wj75PY+W9ayNps411WIJVGJyIcRyLEtJBUatNq21xLHTfRVk9Exu/qJ0XDrLYRRA1zdMmfB+CWfMDXSpoz0Nq9J0OIqAIoaL4DkJ86ipeiNSk5kUsxU7ygrOzsy5buU0MW/G/X4zr94+LIPWBpXPAD37wLsvA9Fk1DQ6N7QjGfFhbvlsD7X9tImS/72KtaRgoptMpRVHgrA2RPYY2ia1vYV5ktTnvmedLrLM0dUN1KGUMs2WKb0RYf3D/E45mp9TuWRabrIMH9z/hx++/G9apJLq1CphXKxvOh+fVSjNfFOwfn9E0QwaDUbfxX9a+0EK/rhsOD4/J0hjvoSxrjLMM/ABbKspGhmBoIqIkCeGYCutVCN2McDqitp7aeqxXYQKIRusIERrOUhQldVnQVAWJUbg0xlnJDVA4jIE0iVnMTvjxD3/IxsYWaTakOj7DWYkbrsqaPAg5bQzWPx1rLdpgmwLeTn4hcbL4tYlwkTmto4iN7S3SLOXk+JjFbIYLFggtnkunxHXX6+PO3ivqqubTTz/lu9/7PqfHJ2v3WGGOkoQ0ny/Q2mCiiJ2rV8nSlP29fT7+4EN2956wQhtVoAKu+OGP3uPsbM4FMiL0TzpYFDm/8Iv/Aq+++iq/9u3f4OOPP1v7TlHkXL/5Grfv3ObB//YrJKnUATZGCk9vTTO+8uY9nIejg4OQjCPWlzaavcNDvHfEEcTRuuamFdy5fY2tzTGuadDG8JUvv8bVnS0++ewJcZZCuyFZz9lM/DNpmrBz9QpHR6edZdQJ2TD4LbwwHCTcunmN997/hBZme1brf77KB1hls0qFqliqLLm2kMbn8xG09xHqn3XaceljJ/O7d6WVxqnL8XGQZMrlMl9p3MiGYRtRSJRS9MnP2mufb3Ks3UjlX2s9n3z8AGjDNQP5GBqwvfnds5bWfl/1tXPCOsdsPpckwQDl4aD2zYVr7yKYDiXO3bIWa0ZVkhS1LPL2JGZF3tXk1Vpjwqbiuk1U7rN/sMs//If/izB0qlWN707ohzGVh5ExUkqi5t59/0PuXr/CaDgizkZPjWm/faGFfhGgg5fv3cKYiKOjUxIcO3GBTQx57dFISJcpDHnRUDdOhD4ap2OcSSmJqAPG75Xqx8vIv95J4ldV0tQVLjHgLTiLa2qyNGZjOsI7x2I247OPP+Wley+D0iHOWNgZy7IOPDaui6KwVgpTC7TTE7xdBMgqwzMdjFBGE2kdfA12zTE3GI+5cecWs9MzHt2/j63rlWZ2zhXbtyb6zXuJpS7Lij/4vd/nO9/5YwbDAfPZXLpzbqJHUcTBwQHz2YzFcsH21auC2z7ZY+/JI5q6Xsd7vRBFVVUZUu8vfrcrrddx89YtvvVz3+Lo+JRPP324tlE6D5PJiK9+9cv8yq98m/F4SBJHnJ2ecHx0yCv3brGzPeXRo13y5YJPPrvPN7/xdjdmb73xMn/zb/zrjCZD9o+W/Nr/9QfkeY5Wmpu3rvFX/pVfJsuSru+jUcYbGg9higAAIABJREFUb9zjk/uPpTZqVfHGm69wOlty9M77gOf1124TxylPnhysxUSr1U5LK660Uly7doWffPApdXOxELlsI+hHuog23RBFEVFkGAwyKed5QT7A52keQnjl5drhGs7d/t/b6Np2ejbjbLYkSVOyLGM6HnM2X2BpVjuIXOnZfVqzAsXXtXJkeybjIQ4tdR5CDs3anOmFLosPqXfn836Fcw7yOiTMXea/WPXvaQuqXePtbxeFzPYtkPX+tHPBSSCKl+2sfW5HqBPSWTTBxWvE2vjtP/wucYAbVxFxF7fnCn2l1N8H/hKw573/ajj2nwB/E9gPp/1H3vtfDZ/9h8C/g8Qq/vve+2+H4/8S8F8hlPj/vff+P33eva21PHj0BOdqbl7fITaOzNdcH004rUpmtYRJEUU0VjTtpnFYDxZN7TWNyikwIvSRUmhKa0xbyxPBDr1z2ECuVNdOipp7T13XlGWBdw0Kx2cff8TW9iY3bt8UBkfbkKYRk8kU5wU26eLlnWCHfa1D2kodb7HrGzdvsLV9BbzqZYR2pL5s7lxlOB7z2UefUBU5OBcSsS4auf7BpyGCVvD/5q//Jn/uz/95xpMxv/Z//J+cX4zT6YSvfeNrvPvue+zt7rJ59Sp4ePzwEQ8f3KepG4ajEVVZslwuglbqefTgAbPTs+6e5+bTGoLgvRTNiOOIV197hSSNKUICTvvdKIrY3trsCL6apmZra4OXXrrLcpmzt7dHFMHPfvNLeJujbNlprz/79TdwzrMsFrz/8ROUkipn2mhu39rh1s0tqjKnKnNGoxFaG27d3BFM3xjKumI8mWCiBOcsWRrx5mvXef+Dx0HgPgs6gWVecP/+I/qa2Ys28RuItm9D5Idg5xI1Iv9dbj08y4EsPQzEfIjgb4XURU7Mdg63lkx3rHefoiwpqhq0VK0bjQRqmC+WUvOh8Ws+kIuet9f7AO8p0jgmMqZHxaGEcj0oRn1fVl/56F350jGWbGyhKi/Lcg1evGgc+2N4GTbfrbP+ff3K4d0+w2runIOMunMkj0hpRZomGN1zVnvhe/JulWRaBdoP/MV1Ctr2Ipr+/wD818D/eO74f+m9/8/6B5RSXwH+GvA2cAv4daXUm+Hj/wb4ZeAB8E+UUv/Ie//DZ93YOcdisWR3XzMZZdy9scPESEmypHSMlRPWO1tLLdHGdmnX1lk8YpI67zqB75UMpu2K94gD19qGqhIzzyQGkyTgfQjXG+JcjWtKDg8f86/+1X+ZyXTC6eEjrLVcv77Dnbu3KaqKqq6ZzefyHWtlgzEGSwjO9JbNzS1msxm2bvDasTGd8Nf/7X+L3X3h9nB13YsZ9oy3t9jaucInP/kAW1XnNpAO0eSiyX2ZKd5OzF/4i7/At7/9awAMBplgm0HTefm1V/jK17/Od77zfZ48esT2tWuURcHs5Jj52Rn3XnuNJE7Ye/yIuq4kwUUpPvzwI+bz2YVL7fxa9HjKfEmkPTevbzMeZRR5SWe5eE+aJBgtjsU3Xn+V9370HrduXWM0GlAWOfdeukFZLKnLM3a2puw/+ZQkjoniiCxJUFoRe8cohTSWGstKa6aTjLKYoUI43Xx2SpykbUQvW1sbnJ6esbv7pKOmvnZlyrWrE3743v2wa3Vzv3vAFTChaBrP/sFp4JdZwWCXtb7AbX0HfQy4zWCVU1aFsV+kXSS8+oK//4LWsPXe/+va7Ln+Wonecm61tlpeqmo4QmtNXZcX+iPO96/9PTKGYZaRxnF3zDpPtayo66bjN1rTzJ8aj9UKOd9aId+P4LmoT5fDUOsQ6rPOfera4d9uxqjVuMkG4fHakUQxWa/mb+Nsx8Ejm75s2mW1WoPPas8V+t7731JKvfy880L7y8A/8N6XwMdKqQ+AnwuffeC9/ygMwD8I5z5T6OMdVbFkrhSf3t8l0nD19Vv4NCUuKuJlha1rah92xPA1SbQgsGx6irqiwYCOQmy3QQXNITKGvCiDs6gR7dobTAjZ1Fo4sDWOcrnAO8u161cYDDOq5RHWWhZ5TmMbqBQ/+clPODo6oipLqqqiLIqV8wZIjOIXf+nn+Z3f+T12Hz1BAVvbG1y7tsPx2RkQQsCC0NNxxKtvvsknH3yIOy/w11TmF3xDveas5b133+XJgwdorXj55Zd4//0PsCHD9vU33+TatWuApyxytrc2mYVCK6+++QZxFLO/t48yEa1y4hx857vvBJZL1f4J3T0HQckZ5Is5kWqYjlK2tjY4PDztzo0ixVtv3COJFJPRAJzF1hUbkyF1VVBVBd5brG1CZmXFfNYATsriBbbMOI5ItCKJI9HitSE2nkf3PyPSkvQkPObw8MEJ3nk2NqaygL3j7FQKxLx09yrjcSbke2iJIug9n1p7uqdNfqG//XywgSQoacqq7gT/+aigzwvrXHTf/u/nf27f3EX36SAoRIhKIflVtFkn1LQO2erPDxpUShLj0kQYcRVt9ryiaCx5UXYC//IcgrZuw2qpnH9WG0JNJYb+xcbw/Gb407eVetCGpUNvfYe9SveoI7wXunMVtX4Toclu59YSOprxy9qfBNP/20qpvw78U+A/8N4fA7eBP+id8yAcA7h/7vifveiiSqm/BfwtgHQwZH5yDGhOjeYnnzzBNTVfe+M2uvaczUtU3ZBGmiSWQh/aKyLlMJHB4jBBSOaNpXENkKAiqSMaGY2UJm3wzoJ3aDzeukDDEOiJjYRU/uRHn9FYzenZgjiWRB3rPXXdwjFQFgVVWXKQ5yEj16NN1JFFmUhz/cYOm1sbPL7/EKU8V7a3UQqWi2WH45ug3WXDIceHRyxnEkrYajStcbhaiC8+YdtJ75zjN3/9N8jznCRwB7XUCEkS89K9l1gsF2ij+Mrbb7Ozs8NoNGH6FzYoyoJ3v/9OB5X1wwcPDo7pz9v2OBf8DHB0eIBvKmID169d4cMP74dvOv75P/sNvvLWPaq6ZpjFzE6PwTtGwwTbFBht2ZgMGGUG6xpiDXF4r1rRRTTZoAgInKYZZIbNjQFlUVB33DoKozTDQYwxmtnsFKXg1o0dymXB8dEJr75yHRPmzjkDXp7tqfF2xJEmS2PKshbyQNX/fD3j+vy7As/GZIDWiuPTRSf4nwcx/LTNw4WMps9rq7BVjzK6o/VQxmC8xNRLxIzthP5l8JPg+IpRljAdj4ijCI/Acs555sucshbsvT/vlOoVOO3Pt95bueieZVl1TKfn+7L2bBdo8s8a8/Pv9OL3HKy2oOFfdF1rLXlekESRFKhR/czmcJLWjIYDsjSlrhvy4v97ls3/Fvg7oZd/B/jPgb/xU15rrXnv/x7w9wBG002fn5wQRylRFLHQmk8fHWIM7ExGxFoxHcRMM0UahZhpLZ5xcdhq0AavDaVV5I1iXmtOcktpPbgG7xXaO7QSrT6LIyKtGA8T0lgKZsexwdYlH37wIaOtKxydzplOMhrb0DQSlVDVNcZ4cI5BllIUJS3xGQjEhPcYHZENEuJEiOQ0nrv37lAUJYv5PGj58tIdHqU1J4dHHRUzvoUJdNCifXePC8YSeHrS9ifU8fEpINDJ3t5ed/yle3d5/bWX+dGPfshX3/4SX/rKl9FRjI4dkXUkHvJlLhmradLdXXB9iao4b1T3s4VXB2F3d4/lco6JYra2tjBG0zSW2zev8Ff/8l/EqAbtLeNhincNxihOTo5xtgpOc4vCYrRkZLaatKRXtItMOE2mkyFaK67uTHj13nUi1dDUjdAzWwtKszEdMBqlVHVDHBmKxYz52QlvvX6Te3euk6QRd+9e54NP9i+S8h384r1EGL3x6h2Oj0/YOzxjWdRro3KZU7SFXQZpzLWdTfIi5+hk1r2rPkT0PIdwfz4806eg+lftLk5PKq2rzb3rAkRxxGQ6Zjye4LxjOV/g2uxQ73G26azYC+GOIMji2DAeZGxNR6SxlOZ0TtZQ3ViWRdUJ/Kfgy8uf/sI+g1Sjevqxnw3RtH29qA/PusbF510OmQFUgTGgCjBPmsSYkAfUnmu9JJqJYml4srd76f1+KqHvve+uqJT674BfCb8+BO72Tr0TjvGM45ffx3mKxYwoTjvnFdbyOI0oiorr04zXrm5wfZqExSbRHtZB7TyNkxj9sippGsBrIh8RKSiC2WmMwWiPQTJWR1lMpCGJFJEWrUXj+ePvfZfXXnuJSsU82Tvg6mYmIZ3ekaZpSM/3TDeF9+X99z4gz0X7T7KERZ5LlIQRiCHLUhGACjY3pzRNJchqIE6zCkbTKa+8+Qbvv/MuTdMKixZCOAeOc7Fm0W8XaSjtdwZZyiuvvMzp6Tt478iXC04Pn3D72gZ3/8pfYrwxpXYB93QQxymDwZDFYkEcJ3REcoAUFFm/x6qAy7l3DF1xmjhJuX//M4FfFChf8eTRp0wGr7BY5NRVwY3rV5lM7nFyfEhTFaRJhA951lqFTT9strLRtjiwwznFzetTPvhQc+fmJlkCWhni2HQsqU1jabzi+tVN9o+WaA3j8YC33rjF5saIB/fvE8VxoMpd0Wa0/omVgJRnT5OIjWlKpAZkg5Qff/CwexfPsn7kHNjaGGObmpYyoQ8B9GO9X0TLv2xurP38lDN33Zq5HB0XCO36jWskWcZivqAqS+qmDqHUNuQ4PBt6UEoRac0gjUki091PKbXGgPrc5+02wr4vhXDs2eN++eXWMfwWtl1zIF/yTBf93P5+/h2eX8dRFLE53eDK1hbDwZAkSUmTjCiKMVGEVookzdjeucL9Bw9YLBfPfJafSugrpW567x+HX/8K8IPw8z8C/iel1H+BOHLfAP4IGa03lFKvIML+rwH/5vPvJPVRi8UMk2RokwCag6MFVd2QaM+iSJgZoUQWPviQnIXGeXH61KGKlok0m8OU02IucdlaowwkGqwWgRtrj5CuNehYk0SG+XyOcg1vf/ktDk9nHBweMZ+dob0UDIeWsrnm2s2r3Lx1iw8++ADnJH5/PBl2muQgkyIfk/EwJNo4yqLANTVxmORtTO6rX3prRQUceEX6Y3N+jr2IZnGRY1cpRWMbykIykQeDjHy54L13vsvL926zdf0VjJb6BG0imlKKbDhi57phNpt1k76fddlqQv2KXe3xVT8UeVGRFyWnZzMePnhIZBSjdMC3fvarDLOIPJdau9euXcEYGKYZidlkfnaMmgxQSgsXSnDSSyTKaqFWlZjvDsWNa2N2tkfcvbVNlsYS5d1FbGhcHKFMxM3rW3x6/4CmaZidzbl9fRMQJsc8r5jPliFKa0V90SUx9Zq1FkXD3TtXef/DJ13Ez/NggbYtlkti46maUJzeOYGJztEinP/5orlwmVLQRuS0VNNr3+2syABmPUNGeu+JYsNoLEybcRJ3wRFai//j+UK2zTZulTjf9nAV/78C6OXvRVp5d7VnbVMXt6cFc3uLNpRUd47f/nc638bngNku85H0fx4Ohty+dZs7N+5I1TwgMkZ4970k6pkowtUNm5MJ5jnP+yIhm/8z8PPAjlLqAfAfAz+vlPomMpqfAP9ueIB3lVL/K+KgbYB/z3tvw3X+NvBtJGTz73vv333evcWsc9RVQ1M1Ep5koWmgrByLZUVVO6zXwUkUJq0HozQOReQ9cYhOGI0G5FWNLc+ItSY2hlHqcTHEyjIapMQxeKcYjQbEcUKWxGyOEn7um/8aN29cp7YNs/mCBw8/49NPPwyhdAK9NNZy9fqVUIHL4lyD96EerBcBsbk1RWtPHMUySRzs7x9QVyXDLCVNExbVkjjLMCbiw/d+iGt6ySIX4IprQ/ZTmJriHHTs7e3jvWc0zEgiuP/ZZ0ynQyY7L6N1DFTiKwmcKFGSsDEYdGZlv7URJ70e0CbmnNe+qrrh8ZNddnY2+da3vsnv/c4/YzLOuHl9C61gdjZjsVjy+uv3ODo64/j4hEGqOdw/wNUD0iwlTdKQyNLys7fPFfB871E6Zmdni82NjN29A65vx6SxlkLnQRhLOUXFS3du8N77j8jzguUyp2mGtAXA67oNxRWSvhZCGg7SwJXf9N6FPLdzTspD+h5twyUwyWr6e/KiYmtjjFK+EzKt3+UyDfNFBP56Czw85wT+hdj1M2SoC/WV4ygiTRLiOBZL2hjiUPLUnqOJfhp6DGu+aaitDTVpfQd3SlTeah20I3V+I/XtxT5n01p3ldUkyqh9hx6lFSbEwNf1+js474C/yJp4nlJ2UQSQ9x4UjIYjhtmAOrz7xom8ydJMcHzbUCwWxFozHY+feZ8Xid75Ny44fClZs/f+7wJ/94Ljvwr86vPut9a0JhtfIRtNGW5sESUZJopFeHjIjGJzOmA0GQJQNw4TCXTSOE+SJmTZAI+irmvGkxEOxdWb14nihMgYNqZj8qKgKEp2rmywv3+AczCeTCgrx2Q85eT4mLt3b3cv4vrOFa5sTdnbfcg3vv41phvbDEZT6tkpG9MJs9lcJqqTxKw4jmnqGmcbkthQFzlNXXZa/cnhEfPTE1xdkqUJi9mCOIl5+MmnFPPZOqa6Gs817eJ57VnnKCUFHQ4Oj8HDla0pb7x2h9Eo4ej4jFvNqm5sZCKskfT09thwNOycSm2fbl2/xvHJCaez+bkFsZ7BCpJZ+fDxHsNxxtbWBBMJbry3d8TR4QHLZcvBr5nPC4nOsoo8r9A0ZKlw/RijieOIOEmlqIeT8ndVbakah3M5uwdLDg/3GQ+u88lnB2xvpKSpkLqBDhxNFctFze0bG0R6myRSzOdL0jQhTiKkXGrY1AJ2n6WGOze3mc1z9g7PggUobTyecv3GFp88OAH2WzHSvZdnvZsoisnLOhRdoZVBnabf3wBWc+Rp4XGZ4/cyQfQU7KCE2vyinrbniIYuWr3MFROShVq+Ht37eQWN9K/RPmLTOKpKLGXv2rh0mStGaxrVQluetsL8ygLo/uGidfOs59dahxoeoJTpUSKv6KfbsqPefz6o6Dxuf9m4n/9OWZScnZ1xdWuH0WBEWZbUlVTNq0sJb27LdNZ1RV7/Ka6RGyUZ23feIkoyoiQmSRKSNCKOYGuc8PVXb/HWm/fI0oi6scznOZPphOFwKC9Ua7SJQ91ciZNXJmJzQ4W6nhZjDKPBJihYzM4YpDEKxWiQsb014vR0ztWdK/LKwwLN8yUfffBjqnzBz3zzq2xuX0dTUdYlg+EAZy2DQcbxwRGD8ZCbN6/x4LOHHT9OmRc0PeZJ20gGK3gGgwxlDK9/6S12Hz0WOIXLJ9RPg09e1NoF6Zxjd3ef7Y0Bzk55tPuAWy9/k51brYAWmoXZ2SlFvmAyvsb29jYQCr9rKUEXJwn9mrJt/0R+6J6QkjrFp2dz5osF1jWkacJ8seS9n9xnMh4K/5EhCADR3Gd1hbc1VzYzhgMjcfyRlgL1UUVtA7V2UQv/ehQz3dhge3PKS7evU1UN9x+d8ugx4Fdhf5HRGKPQkeb6zhjvoKpqZrOcohCCtzhOKUP1LR8EzGgQMxnGVFXZaaYgVsz773/CydEBaSy5Aaezpxflxe9OcHwxQgyRiahcE97XqmwjOLI0ZpAlLPOKomh42nvy9P1WAr0nGv3T53UfBCfuZf4I6Yn4wZQBTI8Argft9ZWVpyARL8/t8BSVFD/vIE8v1BHGtIJZYaIIkECKri9r1kh7n+cMSK9vQmpGtzG1rKrWKxR9n8SzLbXP285vQu31yqrk8e4TNkYTkmviY8Q3lGUBIdhDgkpEMXDPiYj9Qgt9rQ3bV7YYZhnZMGNjMmZ7knF1OmRnHHNtI+FsLrU5x5MxyXDAyayi8UIAFcWavFxwenomjI9aXqbQ/yYoralqiw18PArHeDyisaB0RlV5yqohzQaczmYs53MWyxlVWfD973+XyGhODnfZmE6obcUPvv89nK3x3pKmMc5ZXn75Tvez91ZI2JwljiK0oqtRmy+XVFXDYDDg5t27bF/d4Yffe0c4S9oBeUEc+EXaeWdUmqayMLwkQy0XJWV5zGyWs/dkl9v3zsiripPjU/K84PT0hMlowMZ0zE8WC0kkikxYxIrP7j/sKmo93foTG8Czv3/I1atTyrLi2tUr7O7uM1sUOCf1i/G+Y70UDN2Ct1KHNITMRkZjG8E7y6qiKJtu86/qnJPTnPmi4ex0QV7U1IGJVaosObT2DFLD1saQySQlUgpLqM3cOJrAeuhcEVgPV0+zMRkyHsXMFgEKCEEu1npm85zJUOC8q9sTFsuK5tn+TLmuamFrCREdjwbM5vka77s4vRW3b+wwHQ95tHvAfjPH1faSsV+fA22zvfmgAOXPW5EiSS+LuhFtE5I0CULZEOmoI4hrBe/TMIjg9KrF+5VsENYJtXeA0hHyv6AmeE8UaSIdMRpPWBalFAJa61cr+deZSJ/VoihiNByQpokw7dr1oireOZxSPUZOepDlxWPzLGvqRdesc45lvmSxnLNYDnEh0995YR3uqCOCP6us/+QZuf+/NaMVP/f2PW5c2WKQxozShCzRREZyCK1zfPLwmPF4SF7lnM6WRPEAfVJhtGaeL0kizfWdDWazJd4LP3VeFkwmE07PFqTZhLP5kivbm4zHI2pS8qrm6OExB/uHvPfj9zg5OSKOFaNRzI1rWxRFwWRjk+lkxMnxCb/x7f+d3/3t38ZreO2tN4mTBKU8xijeeOMVKZEXBKpEC2m2N6dkWUJVFkGTXFBVNaPJhHu37vL9P/5jmrKQyJQL4J1+u2jyPMuZd77FUcT2xkYwaaVg+MnZQpyjxvBP//B3+a3f+m2KHgtmWZWMhiMJD3v0EIIzGyVsisI3pAns4ysBuRZVsWqL2YwiX6DQxInARt57mrqmoS0kIhtAHGmSJGI8ytDasFhWlGWNwhNIMUnTmMEgE21YKU5nZxyfzpnNa07nJVXTYshiuButiSKpx+o9LBYlVVWDV9S1UHS3sIpSqnMcNwFiiIxikEbcubHFfFHxaO+006DLqqIsS6LIMEoN01HC6Xwl+NfNfpiMB8SRwTsRbi4kY0VGM8gSyqrGOt+VAY3jCLzn7GzOcll2Fla/0Mplc+AyrV0ptco7u8QH0W9KaZI4JktTdAibXp9/57Hq8zqM6pyl4lvxtPbKRW4ErTRJEodkt8sqXl0M8bTP0u+fMSYU2RFmyzqESa4yoEO/vO9optu/kv+hnhrn9nmf7U+5uJ1/nrquODo5ZJBEpIkUqSlrmVdOgXd0G8HzzJovtNCPjOKNezeItMYoSCIolgv2Dw6YLZYMB0Osc2xvTri+s4lD8WjvAKM1V3a2WOQFPovZPThkOhmTL0u0McyWJWeLClREMogZjafMlzVn81Kyc4uSxWLOj997j9/9rf+bs7MjktRw7dom4/FAqlYVBfc//ZSjgz3KvCCOI+69+iqfffwpr7z2GkeHh8SxYWMyJs8rjBKa5/FY0tEHwyFJmqAQDWOxKCjygjiK+NE773LwZJcW/sA/PzKjbeedYxeFiJ1vaZKgFWGi1+iQuZomsYRENhV1nnN2uqAsxYS0tmF+ckKSxNRlSRLHjMYjlsvynFBZQTmtc7W/ibVaolGaKxsbLJclkQm8LTgGacJyuZR6CbULG36EczXKNdSB2M0YTZZGjMZjqTGqBHqp64ZHuyecnJXUDRSlCPC6CRzsSiCdKDIMspgoklCNxroOMjBGciK6Rd2DRQQOALzn5OQEpQyDROarpYUJRPNV3hFpz7WtEd4rTuYlTbOeTWo0bE0ypqOB1Ov1AhFVZU1ZN8SRxiNlCJuA5yulKArpq3XPJhi7aL605z3tSO5OuvA67bsDia0fZBlRyID20Dm5fef7OP/++1YEAfpDatF4CbE9d8dOnglnjoRyN805VswX0KD7a0RrTRwLPKaAuhHNuSsHGqKGgFCytUeE1qv41qfLuOhe539/0Y1Aouss8+WSRb6gtlLTt52PtbOdD0mHuh7Pal9ooe+c5Qc//CFaaWITkcaiXSVpSuUVVS5azaKq2Ts+kV3aCkSzfCiFimdzL4lXu3sdrti+yEE2om72ugW0zHMW+VJ4ZKqKjz9+n9nJLnkx5/Q458nDj6mrGmuF6AlnibQiSxOKvOCf/ZPv8KWvvs3e7j6H+4co4PHjJzROJqlRorUdHh5zeioc+Cho6obT41PqusZbS7FcSuwp606+i0zH8z+/qGO3bSY429qKXWkSMxpmDLIEkBhYbRRXtyYYrXm8f9xNsKaRDcIYw40bO+xc2eG99z/qOEw6LafrI70+9vU3xe7uId/74/fwHsrai+PSS8VjrYR0y0eS3SoavURkFUVNZET7t9ZzcjLruOvHowEmipjNK5pGol+MgfEwoWlko4hisbxUSM7zEBay9Kt1kInlASCEV5ExwbUnuRdpGosV5D2DNCZNY+q8lo2nqcmSmCgS+mGtNafzgj5FZwt/xJFhZ2uCxjJf5NTWBS3aEEUG6zxlVZMrxbJwXRnJRV5K5SbrOmGs1IvPiQujRp7xeXePMIfiKKKsCoFJFW2A50q097D7p2EY1n73hKFZydqV8hpkrDERg8GA2q6yyC94qmc+bx9qMjrU0g6O6DZktH3nqw1H9xy664mRzwuseBEhf5mz13tPXuSczGeMhgPpmPMC7XjfjVdV19TPwQ6/0EK/aWq+88ffCdigQA2bW1vEqSQ2ZYMs7LgwGQ5447VXwDZMJiOSOEIHrnwfhLR1UtSgaSzWOpZFwd7BCcuiwHlLY+WvbWqqsuJgf4/jo0OqOqeqK5pKqJObIPCTyGAGKYtFLgIljrlx6zZ5JZW6lPccHx9z48ZtsiRlUdeUZc3pyRmzszkuQCVnp2cstqZ4LynhHbtmZ50+Hyf8aWKEtdYMs0xqD2uIo5gsjYmM4Oa6xVebBq8cRq9S9NtojaZpGA4HbG9tdJtqvz/hFyRexT6lhLXCblnWnJzkeA9FiIV33tEME6ajlDhSKGUwQTNPU+FkafF+7yWGvmk8ZSidWVZLwby1ZmtjwHCY0dgRkokPAAAgAElEQVRaBHIg67JOSm2WlQ0beuC1oR8dtdJQdRiD86GN4qMRTDWODVkSMc8loU4rmYfOinUg9B/rcfatEPXOs1zmYi0YhXUEiMG2ooXIaLI0oa5rGoSz32hFUUktXa2s0Ih/PjdP9z4ua6vNJPgtQn8ERerXjvDo1iGu+2jD+vOuxrAPgayEbXesFfwgvPSI7yBJEsrFsrveet+f/fB92EUpqZAnCZZ6VVFvfWSkpoTRQEt897Ti1Yd9njee59vz/AFlXbMsisAntUrQA/BOhU2/ec6Tf8GFPoBHtHCjIqw1nJ6eoU3ElZ0tABrbsL25yS/8i3+Ouih4eP8zFrOaXK/KnkVRRJwkJDoNhQkM3kNVO5bFLrt7T2hsBUhGpq0bbFXy+P599nd3cWGz6JtuWkGjBD7o8DzrOD2bc+3WbQbZIFgChvlshickcdmGYlngmiYsBkeeF+TLQrJBQ8GJLtOzHYdLNID2sxfRIvoLQ2sRHKNBShyJFmmUgIN1LZTSfU0uMnRa75oD0IrTOooizmaLc0Xfn77v+rHV786J4FcoqlrC5JRWxHEkAj4KUIkXErY4kg3AObsuPMKYGWNIkog0ibpP6qpAR4qdK2Ocs9jG0zSeoqzJi1pqjAaFoE/Z2x/bti5u38HpnWzWgzghiiO0UwwHCfosxwWLprFtuTtx7tZdDPjaqGC98OY7IyRjkZFoEuek0E5dO8pGBM721gbzxYKrVzbZ3pxSlCWHxzN2D07Ii8srdX1eh2PvLKIoIgn1XyU4oZeU5FoCtFXWrO4iuuT52tbG7wst8HrS4VN99uCVpy0ZrjQURcnJyQmL4rLwxIs8ARc3rfVTEXKX+cPklIutlrXAiCQlDnxDZVWF+tiXW+3Pumd73IV5tjS5+HwCvNQiF773nWe1L7zQN5FhfjKnmJcojNSdHQ5xVYM2mo2tKT/3S7+Ad5azk0MGg4Q2Q7KxFXVdhnAvsX+MiQJvRcLN2y/x3o8+IZ8t8cqRDlN8VdPMcnYffsKT+59Rl8Kh4/w6VicBH8G5Y13HoT8/O+XuK6+ytb0FTUOxWDKfLairEqUc3nnqwJY5zFKa4ZDIaBbzZTDTnHwuIQuXqmuXOeAua33NRmvFIMvYnI4ZZGnXd+d9yPoULn+jNUkckSRa+Ie6aOX2fjKu3rmAJfpVyMn5dk6rXdUxXR1ztgUDLHGkGQ4SxgOhVVYgkUxaeiAJVaISGrOKA0dZopaHKRTH8V42lTKUNvzJB09ofQxdvLsTE1kb02H1cRyLk5TWqrFrrJFdaAltBFRCFBmqWkoHaqXxynYlKo2Wsc+0Ek6ZpwcJhZTyjJMI3Ti0clg8tW/DDsXRro3h3u0bPNk7ZP/ghKOjE5Ik6qKdlAqhnhcI0cvx+Wc3pWCYpUzHQ9pom6axlNUKUvAdARoobdAm1JpV8vdZGnBr9a3BGu1YO/CESnMu8NG4OX34ehWCGuZVz1q4bJPTWhMZI6HAjUUS6bjQGdpml18UVtk/J4oi0jgmTWKaVlFUdL6Hi8pa9vt0mU9Oh/njvCRmyea6DuG5dl08o32hhb7Smis3rqJNTJnvE/kIVTsSqyCv0VFEXHu0c7gQiy1V5eX73nuccnjrgpCRFscxN2/f5PjomL1HT2gWS8wggkYz391lsX/I4wcfspif4kMG4MXQicI2DrCCr9U1+3v7vLRYsLE5xRUFZVHinBf6Xu8plgvKYkRZlGgt0RneeWzdEMWGJI5FSPgw4c/d8vOYjRdNTq0Vk9GQjemY6WQScgSKbpK3sc9GK7IsIY0jTBCiNnDc9LXcFrX1tIXjL+iIkxDLdcED7clJHLE5HZOlhsgokmRAZAxxpAKPfruRBBTdyT+iIXpMCGt1gVEzDiGDIvgk7NaGBB/rVospiqJg0ksYr/UO1Vi0EkHQx3tbQaq1bPJRtCrqYZ3jbDYnNZYsS3F+Vbjahc0TQlawlxjz6SQhPlA9x2sfHHPEkWGYSaZlXVl0tcpEbWl2bVMzHY/Iy5LGWopyBVG2EIy7QAA8a+48KxDAe7GsrbMksSGJYvRQKsYVRQXa4BpZf1oZjJaCRW0kTwsHnb9m7+4SSWUMxrRCzAfu+PW+t+UXPU8XWxc/UisML33U8HnbH49zvdBRvw6ZPgurP/+5IghnZyV7O9RV7ve//91+Xy46B2QOjodDslDno6mlPnh7vkfmId2md3n7Qgt9YzRxlnHj9k2ujLc4+3SPs+NT7NmcOq5oUBzM5/z+//Nb3HvjHhubU4bDIXg6OKbdzWWCiMBPswGPHu/y0QefcfD4EbauGGUTmtIyP9zn9OAJhwdPhOTMPz3hQIwp2VWbbvE7J9lzrqnZuXqVoyeP8d6T53nIVISyLDk9OSXPc4yC8TBjkMZo5cArtHJBlK4E/nknWr+9yALuL940idmcjkmTOFQKs70JK2GmRusOGmmrVQnEYDsh0lYbslaubYyRaA3V26h8yEoOUNXTC0ew8+l4yO3r22RpJJugdyt4SdFBRt77rvRk//naKJHOmgg+CeskwUdoEXRw0spm0S52G56po9YN8FWL7SOhGqK9JQl4KdBTWdUJc4DhcMhwKLwoynvSWJzDIEljk/GQYWZIEynuMhpV7B4ueXKwwPfGorVwjAGUYzRIqUyNNoooUtg0om4kZr0ocqI4I01S7HIBHbywEmR/krYmyML1qrrhbL6QalaREPXFccJQa5SOaJoa21pEzoeSmesCb31ert1R1Afn8ZoAxconrVbru3flQxjvKsPX997h6tFXjudLnaS09lqbPKg66+z8eFw2Tt21vA9KgsgbaxvqunkKKfi8TQWFp60h0G/duvABftR/ijV9j2KZlxTHC5IHJ7jjOVWxpA60onGckGURRjsO9x9xevIEnA3Zro5sMBAGzAA9lFVNNhgSJxllZdnf3WO5mLN9ZYMkNSxnc2xdUtc5dd0PPTyv5fswOR3eKZQRzFLWhePxwwe8+tprVPmS2dERZ7MzvLOMh6LBVlVFVVUYo4ijpIMnZAcXp3MbI/2UbXHB5H2e4G//V0qiYIxZaeh4yVT2SqGNkXrDWiAGE/iJJGRRkxfLkEym2dyYcHxyirWi/WnluXZ1C9tYDg5PBBPvsSquskef1iAHmYSGah3M9hbvVtIvAO1BcgDaBb7C252TmArnhGZZ26ChRzI3AgTdaUbtxtU0NpDu0wl9HZQDQdYCRm2UkLjV7T3CvXVLAQZZlpBlSVfoY1kuAp+/ZzYvKKqaSDtsIxFbde3Y3hiwf7TA29V73toYcevGFU5PTrHWUgeIItIQZbFstg6q2rJYFuweHpOX4h+KIqnbcN7JfJGz8bJ2UYBA/2eZpyrAC1BVFq1zkjjh1TdeIopijg6PhP6iqqjrKihgwlO0qgi3Pj/7zeElcMzZDu4Ry0yDV11ymu/16+kHYQ3euexZV/4I2Wi6DUOpZ47T+daHi9Zr+l5834v8LZe9t9bfUDeNWHo9i2C10a3u5+z6pnC+faGFPigaH7M4bWiWnkbFxOkUHUUYE2PihGQ4JM00aeJxrsC5isg44igijmoiBbFJaHCYzATO+5rFsmBv95B8WXLIMYNmgHKOfLkkz/PegPa0lBZyCRqohMtFPZRDioI/+ORjIqO4c+cmP5mfoZVkbE4nY6bjIR5PVSpiE61jcVYy7SJjAjbeDkNwYgYRs4LNX1xzUEqE+XCYEUdRgDY0Tlm81wGOWP2VMMhItHyjqK3nZLbAOcGmW6y7hWnSxDAepczmc/YPfFjkq1J0503XNa0MiYtvGtfBIUrT2f6KIGBV68rzK80vSEwVQkezOCFJoqBlWVb1CeRKAt3ImGqj0UpLNFbbn3AtBT0BKuF5eEcTLIOyFjy7xY8XiyVZ5EJ0hzhddQhdKaqGk9McWxsirRkOJans+rUtPn18yiK3nSXlneXo6DhsfGBVzxLzLrwrCVGNY9OFK0pSlEZrF5zNLzw1XnD+IDBN0Madl81RA7bxFNRsXdlhY2ub+SKnsTn7+xIObQMtuA5hkW0hkNZZ3jMNV3CP7yZHBynKW9EBPgkmgKaj/qjrAKNcIkjXn2ddO+9qQITDqnfO5xH+Uo1PkcQJ1slmbIxG+T7j7MXKT79d6OhlPeGuTcRq30nf0fys9oUW+kobksFVhtc38SNIrCcOapjCQ1OhBiU6CHLlazQupOvL39iokLqvgyZd0fiG45M5xydLaqvwy5p4mBIbyPOcZb6k6bL8xPB7qrUfCaqIU0E4CbjG/Y8+or55k43NKflijm0anLecnJ505plzKyri1gSOjdAuzxcL6nrlBEKpXj9UZ4rC87X9tg2HGdPJWKo+BYy1rVOg2o1FqUBcFhNFptt7qtqSFzUeieAYDtJQs5POShHLpxuYtnPr77T3rG0ET4v2onRnabTWlFATt5usxwYLyzq3VuHJulWcfVm3IboBMgtj3FINaAwe3210pkdGGxlDFAS3cm2RehcYV2QzaywcnyyoaiHd0qatsdpqsr0M4hBFJBu3RqGpa4vSUnEtS2McMXGcUJW5OION9Kh1SrbCsoWypA9Cbia+BoGr0iTBl1U3Q1pt5DKM/rJj599X+xrb+bH6bq8ASWO5f/8Bm9vXiOIYbUrSLCOKLXVpOjjUOUtTh3dm7QWbUxBeYX72p7VAnutOUI0mijQbO1tUZc1isaSqyk64eu87QXlRtE1/HFaQHt0Ynsf1nzdOuoXBqqIHa66u9bzrXXRcoULZSPFBtXkwrVJhw7prM4Of177QQh8M1o/wkcMNFQoTwqsUNA2uXBINl6CCozCUPBRctkGiKDXKienT1EKaVDSa09Mled6gvREu+aqkLBcs5qeUVUltG3wvDVxaTyM5d6gVojrw+3jnePLoEZPJhM3NTeZzEfxN0/LRiHDNspTpZIzRBuscdd0wGEmm8dnZnDJAQT7AHedx/ucJ+z5+KuyHZuWk9B4drBmttWQ+G+lXkkQMsgRrXZe8ZkNm5XiUcWV7k0dP9qjqqguN1aa/gfVMeFqLubVeQh6AFnNdSLkEA5fojEBE55qAka4Wyqqkow9OQpFG3nsa61HKhf4YIt+jIUaFZw1v1Uk/OiKvEOUTKY1F+HiaoIlKcZbWb9NWcQqRP9aJkFbCVNqa+HFkSJOIsrIhIieSUGFgvqyoG0vjhNgvijU6itBYpqOYq9spSTzEWkdeWMHwgwJb1RaHE4enVmRZTNWU5EXRlf2r6jpYKavZ+yfBk6W1VuYlMegeqrIkMgrXOIyJuHrtGifHx1RFviaA22u0OTb2EjgizHDWmAXOwRvOORrXkKUSIlnXktTXWhFxHJNlmcyPsP5WFsbqmt3KDhtt+8jnfWIX9jNYIa1vS/xbfQx/FQjyPMjnovsYY4hCbecWmpTaDfSshxeHo77QQt97sI2iaYRHP9IBe/MW31T4pkJriZ7xtsE5KYitwr9eeWzYeQV79livyUs4OS1QJgEsdd1QlhV2uaAolqHSVrMyKc8D7GqliaIgTiK2dq5wNpuTJEk3ZzRQlQVJPGZjY0pT16KlBisijiJGowGT8QhtDHVVs/A5Q6155aU7NNZzusj56KNPqMqi9STIvVs1aIX19MZtNXn6k0nq7yrRxLrjYIIJKklDCmPkmeJIQu6cTShtuxA8W9sbjCcDBoOM5TIPMFAw2RuJ3T7fj66ptYEEpUJUjUAcbULYUzHyqo3cEa02jmNJiOrS4UNcfwDwvafD/dtxaDeJsqppnMU2VuAaL+GYAqH44KBdLSiMFp+CfBx8A+L3cF6So+I4AuU6zTzWimGWMFtU1KHgum9fWehnajTZYMjRzFJWDVmseP3lHW5dy2iamqKsqeqG+bKkrqXWsneESCQfkuvSkG8ibKIdTHYJHcOLCv+LLALfwpsXhF4qpdjYmEjUTW3JBineS0GeYpngrCUyhrr3nTRNO0G8giV6ArKvOIQf2+pZ3XzwopTkeU6/elvbpyiKSNMUEJqRvqbdPdf5h2+t6xds7VhExpAEHqR2UzEhX4imWcthea6ADgBDa42KUmNRPQhK1k0LobKan3+aaRi8tSyO95kfntEsS2JtJLuxKXB1iWsKJmqKbbYwUUjoUaEurQ8aZ4gjd87jrKRInc0qzs7mREmE0SneGowpKBtL1dRCU2qbTijiV0nlLZTeQhPOOV7/0uv8zLf+DHVIznr86BHLmVTn8tZSVxXZYCDcNKHMnlaKJBSa0FqjAx6ljcErR2IMEQofJ2xc2eFofw9b10AvTnw9TOHS1k6wqqoxkWF7ZxuCqR3HhiQSJyrOogKtQDvRoigiHQxYNpLQZrTiK2+/yd2X7vDoySFHRydcvXaF6eYU6zxxmtAuXLgMUgiD2PoE/CrqwPmQ6RmEWqsZpiEZJYoiCZdsI4q8MF968fpSVRbrbVh4vtPSvXOosNm22bjeI3BRsA4jE62wYlYKX5d/EBSJoNeRxBHWuVC4WzYDHaA4o+RzFEFL94xGKcNUiq6rwPdSk1B8eEgZ6CTOzpYou2A8ljjvK1sDlDKcnJWUlZM5HGKxa+vxTpElEY31NK7qkqNaIf08COEiDfNZOLMNfPYubN6tdnv79g3u3L1FVRUURUFZSvZ5vswpQ5HudtNrNyQdIr1WWrC7AEJan98OH5g72xUpVrUERkRr32shm/aZ+u/2KcjnKRhpNRbnN4qLxkc2GNPJBS+mrUDUgRa7MY0Uh3kq47eF4lYW8mqWBdvUO7SOuj4Lpu87C5Rw3ovs6V9ooV8sZnz4R7+NyxeopkTL0g6hgw6vPLG+yZ27b7E5TVBKuFXwqjfxfUhPFpO8rCyf/OQj3vvO9/CNaB9xEnP91lWq5ZyyLjvtD+h23PbHtnkPXnnKuuHdH/wYkw74hV/+Rb72szcpyorFoqCuG/7od36H4yePpPCH95goChqncAglWQZaU1aySIRLRGh8QaPjhK2rO8zncwo7w1svkEhP8K9rRM9wDgFXr13l+s3rlHlOVRXCLhlS0An0z3GgsPDOMxgNSbKMo7lEnSRpzPaVbdIsZTQeYozm2rVrvPr6a4Dm088eh3BQcWLFkSGOY5yn06YD0ryCubTGOyvx7cGRbEybH6BDMlm6SmzrnkcFeMDiQhjmWnnGzkiQuPkr2xtoY8hzYTaVRCt5l0VVooKgTqLA8omibAuYBKjEe49yvtMgnfeBmdEFhk+JS9cqFOLAS27EeMS1nSsonGSTzpYs8xllDSenOcuyRntL1WgGoxHpQIF35Mua+aJktiipG4funKnS2qijODKYSvcskdV8ON/OY/wvCgu0AtvaNlRSrvWlL7/Jl7/8FgcHRxwenlEUUiKxLCuKsiRf5sRJIoWEepYuvqXjbmenLLZ+9Esr4Dolon3m3rpscy36objnhXQf45fvBCiy9UOpIEx7Ar/97mXQS/+YDtaPKC0eAiSlwr0MCHwaGUzV0Fixbnt3wnvZzLo6FOH+4mda5Z1Ya1ebn29Hzofkxj/lmL42hqs7O+x+ehoqTfXNLnkzi7zi4493uXt7g8koYjiMabP/WoHvbENtobKGJ3vHfPzRh5wdPcLVooFEUYxRC5qyoqpLrHfYkEzkgyqq1udCh6p4D/NFyQ/eeZ/dvSO+9PaX+Maf+Rm+8vY3UDqiLEp+99e/DTZQLIhbEsGTYZnXeCqZBKHcXFslCAXaREymm8RpRrlcolybaBbsuW72txN8vYKCUqvP4jhhurmJiWOiEBbZOhul8pTBRJo4aRPEPHGSMpxMmc7F6bu5MeXmrdsslwvKssF7zXe/+w4KGI4GXNne5LVX73JycsogSxmPBgCcnMw4OjqlrGoqPJPJCKUUVVWyMR0zGAyIIhGYcaTDzxLRYq0lL0rZSFg5y2Ttu25x+DUcdbVgZQEpjk+klq8OCUNaC1YaGUOSiuM6SyX5paqEbx8lIbmx0V2pvGXRYExDlggT7CCTQh5BuQMPOtIMBhmTUUYSRyyWBR9+vItSPjhhBSZpnKIoK4qyxijP3tGCxTIX/1R4t+2ccUErlhjy1vHePm8/MxnWCe0ubp8ncqQ933uBSU3wAw2zjK997evkRYF1mmVeMpvPcdZydjrrNnrnWmoPOuHVWEfd1B0O3hamaZqmE/z90orrOHy/n+0GsYLX+n02IaS6vb4+D9+1hpxWmPAez/vMnofHi0XXKpe6o3ZQKLR3EmEU4OI4iTHWU1ZVD/tf970BRNoQxZIo2O+DOLBbTVRgMPHhtNbLhd3s2hda6MdxzNb16xztPSGK4w5rRQmHjcfhVMQn9w948OAhd29t8MZrt5hMhsSxxmrBvYracnCcc3iy5OGDPfaePKGqCoaDhLIoqJuKg4N9mqIUaMf1HT0+wDv95lll+IakCAsnx3P+4Pf/GT945z3eeOs7vP3Vt3nnu98RzSi8EIcLfCxQVA0qhOS5DsTTaKRAOkpJBSqrGYzG5LMZrg19kIEIGnPoZy/a4KI2Go+ZbmwQxxEKjQ51etM0YTAakQ0yhsMhg8GAfLlgf/cJDkNZWvb3j/AO8rziD37/n5KkGWcLy9bV25wd7/LZ/Ue8/vrLJLHh9s2rXNkcU5VFSHCD61c2+dbXvkZRVnz3nXfYubrFeDIE76VYfCTTuCxLbFdnViAofFiYtPH4toN/AryLUpKRKIK3PbMV+GGsWszTi9DHSyZ0WQlJVd04yrIJwkC0J++FejpNEok8aYTJsnUwJ3HMdDIgCnWR5R0jIY3ekyZR2NxkQ4/MKkqq9VG0rbGeo7McE42IOiK5VsivhK7tGFhVV1mtpcyITB0iz3qz9RnW3/n2vEiwlfCVJLq8KPnxjz/g1p07pMMxdyebzGYStPCZvx98YvJd6xyqaciygdBWe0/TVB1vfb91ApnV5r0GyQT4o302cazL2Jrg62ktCqUgSeLuuaqqekrzb2H8fp5De8/W/7W63vpYtpZkX8te26AcaGW7KL+2SLxkd6+NbqegGCOKj1Ea5emw+5a6up/hK9nJ8v0+88Bl7Qst9LXWJGnKcGMTW0lNWe8anC3xNCht8EoSembFgtnslNl8ydWrm1y/dgUTSYGN3YMzZnmDtYrjo2PyxQJnLUWed9E0TSVJFZWX4stdhmYnMqStkEQ5Iqn1gZ5ACS/I6fEp//jXf5Pf/61/zM0b19ne3hIHL4qmaSjLEhNi5ZVSHd+L2JiByMo5HGCrmrrRmGggwobe5FIrNFBilRXW9otytwJQzr956xZf+srXKMqcw8NDqqL8f9s7uxi7rquO/9Y5537NjOfTM+NJnCbjEBWFUtKoVDWUPPCRpuEhRcpDREUjQELiQ4IHJFJVQuWBB5AACQlRgSgNH6Ippah9ALVpE4kKQdLGiROX1IlrO3Ede2yPPXc+7se555zFw9773OPLzNhuZ+YeM/svXd9z9zme+7/rnL322mutvbbJIGqY7Ib19Q4rK2v04jivUy+B2UTk7bfeQYMaG52U5mqHH/nRd/NLR3+eixeW+OIzT3Pu3BJpoow2IsRa31EUUa03mDv0Lqam5zk0OcGVi+cZrdeZODDK+MRoHoACSOKe2aWqG+P2IZ2eHGHx7nlarQ1WV9usrbVsRkua1x+Rwj6spgJmwdILijOf/sIrCteZEIOxRiUM7Hkz2CNKmkGr3bFuoJRWp4ciBNbKr9dc8M7Udu/EKUm7x9pGx1jwYUDsVohJQNW6rZwFHAaGdypCN07o9jKCapDXsREbAzGKzCkrc/MlCIgCUEwq6Warcbfz1xeV2HbWbPGZcsdmcVaPY8de5uzZt5mdn2dmZoZ6YwSqVaampsxG5qrEcUKl2gabYWPcPHYtwiZKv/h91wXjrZUbiLlPKv16UmZ9hZhy4FbpO9+3a6tWq/lq/a2+b/Bccca4pWzoGwmD9XnApLam6vRH4W8z4EHAlvBw98Ra8Vivg1qZhRLYex+YTMYkzWe6t7Wln2UZrY0WSRzT3Vg1XVaVNO0S92KCKKTSqOWLmnpZwpm3lzj3zmUmJi6aHYZSJazWGBkdJ0lSVptN4naLNI7JbEpmEJqpOIpZlesyRxjwkNlpGPmoan2MWZaPtlmacu3qVTrtFqB0Ox2q1Rpzc2NElQpVIIiMj7NSrfYfNDddVVPKuNfr2VryIbMzdxDLBJfOn0OTnglMan95O8Ds3DxJknDlyuXN/Y+W/oULF+l0O6yuNG09fPtbsv4UMwwjokqFSs34tVvdDjGjPPTwR6nVqpx94zU2Osr4+CQb62ssLh7h4MEZvvfWaZJkg9nZaar1BrWRAywcXuToT/0stfoYYZbwn1//CmOTc1RqZqCJuz06nXZetrq/UYlxd62uZpw+02NsrM78/BT33XsnQWCU8MrKBs3VFuutjt0uD1RNvry5sWaHqzwIa1Mtc0UAuT/GrP4MClNk8wy4652CbscJia0FE9hFasYadOl0SmIzbNLUpNs16lVbDM1s9q1ZYFLwDAHMJiuSuyTbnR6hVEzVUzFzligMqTfqtNsmVmRcEmJXS7scfhNoH9RN21n621n2gwPC5kFh6HZ7LF1cQlBmpiZZvXaVdrvD+oZZ6Ohcl4lNP05TtyuVUfxFn/12ytUFXDPbB126rjNsXP8ZLIymagYH5zqpVCp5dt7NYLONUQZl2F/fYdxMods9bsDdWHRLqcomClrz35Jl2l+R7gxCO+tNcQsDnVyCPGHgRrO6Uiv9NM1oNtfINEAzIcsSExiLqlTDqJ9P7cqWKnbf04RubwXsjkU1idhYN/u4dlqtvMOoq0Jop9CpLbo1aOXDoJVj369jq4zUqkgYkiUJQSB02m02NtqcfesclUqVuYVDRGFEqjaQFEVms3ZrtQA2qEnun0QCqhMHWWomiNgUxawQpVeTr37H4cMsX73K8vIyaFpgZa2HQKjXa1y+fAVXb6dWq5PHBaybxPlSEWNNSljhAz/xk1aKuOMAAAitSURBVDz0yCGiaoM4jvn8lWVe/OZxXjp2nO76NaYmxmi1KoyM1pibnWNkpME9P3Q/73ngKOOTBwlCt1eqcOR9R9HRKV7+xr/RWmuSZXYh1XUZDdY/q8rKWoerzRaBwJm3LjM5PsrMzATT02Pcs3iYyclJwrBiC47FrDTXeOedy1xbWTNZOll/yptZZRxc56d19XjU1jUpLBgquoYQkrSH2ylJxAZPAzuYWDk6SzvuJdblYILCeQfF5fqbZ9BZwmaWAiqmtHRSi4xJoplZ3xGaYH8xHba4h6tmdjFiFBFIgkh/+n+rvnuHrbJUBrNrRMwMKowik8mkCjTIUCqViDiO2Wi16HWz/H7nwfZtvnswIGtvRV/5FwaKzAZjjY+7Xz21//+D/FpXEmRwsCl8Bf0Fg+aeuOs225rRfUcYBHazHBOj6HS7dGMTryP/Le4b8rnB9boFzM3EuHUksO6rnBm5sSn2HxfYv1kXXqmVvhm4hcbIOKIZ3dYqtXqVe+47QtyLSZMey8tLdGNjZWuhQp4Z6U0+e5b06GUZvbhHe62ZT5Gc2nZWcFrovBSucJ6X3JqwcEEzM4CkhGHAwuE7uOvuu1lfX+f0qVMsX7lCs9nk9Jmz1EdGmJ2foxGYnXnC0FQhDMLABJMjsxtTlma5tYKERNUoz2rJJHB3O+dRb9Q5tHCIXi8hDCOSfHFU/ugiYlJEa7W64Z0XUTPWlpFJP1vCpBWGVGoNJiYmaBwYQSQiqYV87GO/yNtnT/Nf33iOi/EqY6M1psbrjN05Q61aQTNlbnaB2dlDEISkacZGu0Or1WZ6eob24Xfxkpi4QqMxYhZ/hUleHTKqmDUClSiCQPJyEK6DXNtQltdWOX1ujSgURhoVFg5Nc8fCHEcW7+LH3vtuwqjK+QtLHDv2OivNNt04gcRsMuHSNfPsELUe4tCVUbaKAPJOBYoEERIYdwyCTR0NCaOQRt1wzjIla7ZJmm1EzExA8vID/QJtWQZJmuYbtBd36zJBW1f0S4whYssEOZ9vpibgL5ktWyFCFFVoNIRWp0eSDiiTAeV/IzfOZn7rzeDaK5WIe+89QhgGdNftQrEkJUl6dn2KXVC3hSupOOMY5Jb72GGgd2Jl6Va+Bk6NXvf3g2I/dYOU/l/55DxMC67/bJbBM/h/kySlC2iWUokiqtUKoyMNJifGSTOzZ0ar3aGXmrRbM6Bv/vf6n23MRhQhJK8AaqVhBog+3+Jv2w5ys1OcYUBE1oCTw+ZxEzgIXBk2iZuA57mz8Dx3FrcDz9uBI8Ddqjq72YlSW/rASVV9/7BJ3Agi8i3Pc+fgee4sPM+dw+3A8UYIbnyJh4eHh8f/F3il7+Hh4bGPUHal/1fDJnCT8Dx3Fp7nzsLz3DncDhy3RakDuR4eHh4eO4uyW/oeHh4eHjsIr/Q9PDw89hFKq/RF5BEROSkip0TkqRLwOSsir4nIKyLyLds2LSLPisib9n3KtouI/Lnl/qqIPLiLvD4jIpdE5ESh7ZZ5iciT9vo3ReTJPeL5KRE5b2X6iog8Wjj3CcvzpIh8uNC+a8+FiNwlIs+LyP+IyLdF5Ldte6nkuQ3PssmzLiIvishxy/MPbPuiiLxgv/MZEana9pr9fMqev+dG/HeZ52dF5ExBng/Y9qH1ox1BcalyWV5ACHwXOAJUgePA/UPmdBY4OND2x8BT9vgp4I/s8aPAv2MWEX4QeGEXeT0EPAic+H55AdPAafs+ZY+n9oDnp4Df3eTa++09rwGL9lkId/u5ABaAB+3xAeANy6VU8tyGZ9nkKcCYPa4AL1g5fR54wrZ/Gvh1e/wbwKft8RPAM9vx3wOenwUe3+T6ofWjnXiV1dL/AHBKVU+ragx8DnhsyJw2w2PA0/b4aeCjhfa/U4P/BiZFZGE3CKjqfwBXf0BeHwaeVdWrqnoNeBZ4ZA94boXHgM+paldVzwCnMM/Erj4XqnpBVY/Z4zXgdeBOSibPbXhuhWHJU1V13X6s2JcCPw18wbYPytPJ+QvAz4iIbMN/t3luhaH1o51AWZX+ncC5wufvsf1DvRdQ4Ksi8pKI/Jptm1fVC/b4IjBvj4fN/1Z5DZPvb9kp8mec22QbPnvG07oW3oex+korzwGeUDJ5ikgoIq8AlzBK8LvAiqq6AljF78z52PNNYGYYPFXVyfMPrTz/TERqgzwH+Ay7398Uyqr0y4gPqeqDwEeA3xSRh4on1czvSpf/WlZeFn8J3As8AFwA/mS4dAxEZAz4F+B3VHW1eK5M8tyEZ+nkqaqpqj4AHMZY5z88ZEqbYpCniLwH+ASG749jXDa/N0SKO4ayKv3zwF2Fz4dt29Cgquft+yXgXzEP8JJz29j3S/byYfO/VV5D4auqS7azZcBf05+yD42niFQwivQfVfWLtrl08tyMZxnl6aCqK8DzwFGMO8TV/Sp+Z87Hnp8AlofE8xHrRlNV7QJ/S4nk+YOgrEr/m8B9NspfxQR1vjwsMiIyKiIH3DHwMHDCcnIR+ieBL9njLwMft1H+DwLNgntgL3CrvL4CPCwiU9Yl8LBt21UMxDl+ASNTx/MJm82xCNwHvMguPxfWf/w3wOuq+qeFU6WS51Y8SyjPWRGZtMcN4Ocw8YfngcftZYPydHJ+HHjOzqy24r+bPL9TGOgFE3coyrM0/eiWsZdR41t5YSLkb2B8gJ8cMpcjmOyB48C3HR+Mv/HrwJvA14Bp7WcD/IXl/hrw/l3k9k+YqXwP40P81e+HF/ArmADZKeCX94jn31ser2I60kLh+k9anieBj+zFcwF8COO6eRV4xb4eLZs8t+FZNnm+F3jZ8jkB/H6hP71oZfPPQM221+3nU/b8kRvx32Wez1l5ngD+gX6Gz9D60U68fBkGDw8Pj32Esrp3PDw8PDx2AV7pe3h4eOwjeKXv4eHhsY/glb6Hh4fHPoJX+h4eHh77CF7pe3h4eOwjeKXv4eHhsY/wv4n7kZTyvOnEAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "predict_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.0,\n",
        "    dtype=None)\n",
        "predict_generator = predict_datagen.flow_from_directory(\"fotoo/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tw7gB6eEc6eF",
        "outputId": "6d44895c-b1af-4742-bcff-75c5befca357"
      },
      "execution_count": 228,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 1 images belonging to 1 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prediction(model,predict_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ugYhzuBuc896",
        "outputId": "981428c1-72af-4105-b7c8-23867c2623a0"
      },
      "execution_count": 229,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted District is Mecidiyeköy-Şişli!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "im = Image.open(\"/content/fotoo/fot/Mecidiyeköy-Şişli2.jpg\")\n",
        "plt.imshow(im)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "xZnnus5Pc_o0",
        "outputId": "bc0671c7-cd33-489d-b400-ca9e16857236"
      },
      "execution_count": 230,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "predict_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.0,\n",
        "    dtype=None)\n",
        "predict_generator = predict_datagen.flow_from_directory(\"fotoo/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SREhYRqddEkO",
        "outputId": "1aeacffd-5b5c-4138-8b02-c67012f2bd42"
      },
      "execution_count": 231,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 1 images belonging to 1 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prediction(model,predict_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0B_cndpVdGlg",
        "outputId": "0db33552-b866-409f-84c3-3d277dc8a1a6"
      },
      "execution_count": 232,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted District is Mecidiyeköy-Şişli!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "im = Image.open(\"/content/fotoo/fot/Mecidiyeköy-Şişli.jpg\")\n",
        "plt.imshow(im)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ob2KO6PWdI8U",
        "outputId": "3d50120c-8914-414d-eaae-01dfe6da2ee6"
      },
      "execution_count": 233,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "predict_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.0,\n",
        "    dtype=None)\n",
        "predict_generator = predict_datagen.flow_from_directory(\"fotoo/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "apLWeojVdLqI",
        "outputId": "f564237b-5085-4c29-d8b0-438cf5dcc47d"
      },
      "execution_count": 234,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 1 images belonging to 1 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prediction(model,predict_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KRoV4ko5dOnc",
        "outputId": "6ccad98f-ddc2-409c-822b-5062fb3c9bfd"
      },
      "execution_count": 235,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted District is Kağıthane!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "im = Image.open(\"/content/fotoo/fot/Kağıthane.jpg\")\n",
        "plt.imshow(im)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ndnbXnnldP36",
        "outputId": "763c4117-8ea7-4602-e9b1-83a8ad60bf99"
      },
      "execution_count": 236,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "predict_datagen = ImageDataGenerator(\n",
        "    featurewise_center=False,\n",
        "    samplewise_center=False,\n",
        "    featurewise_std_normalization=False,\n",
        "    samplewise_std_normalization=False,\n",
        "    zca_whitening=False,\n",
        "    zca_epsilon=1e-06,\n",
        "    rotation_range=0,\n",
        "    width_shift_range=0.0,\n",
        "    height_shift_range=0.0,\n",
        "    brightness_range=None,\n",
        "    shear_range=0.0,\n",
        "    zoom_range=0.0,\n",
        "    channel_shift_range=0.0,\n",
        "    fill_mode='nearest',\n",
        "    cval=0.0,\n",
        "    horizontal_flip=False,\n",
        "    vertical_flip=False,\n",
        "    rescale=None,\n",
        "    preprocessing_function=None,\n",
        "    data_format=None,\n",
        "    validation_split=0.0,\n",
        "    dtype=None)\n",
        "predict_generator = predict_datagen.flow_from_directory(\"fotoo/\",target_size=(128, 128),\n",
        "                                                    batch_size=128,\n",
        "                                                    class_mode='categorical',\n",
        "                                                    interpolation=\"nearest\",)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-31lJZB4dSXX",
        "outputId": "5e3afd67-504f-402b-8c73-450ff2fdcb4c"
      },
      "execution_count": 237,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 1 images belonging to 1 classes.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prediction(model,predict_generator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TgQh1DXndUWh",
        "outputId": "5603efd0-0178-467a-fe23-22e13bf9d211"
      },
      "execution_count": 238,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted District is Taksim-Beyoğlu!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "img = cv2.imread('/content/fotoo/fot/Taksim-Beyoğlu2.jpg')\n",
        "img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)\n",
        "plt.imshow(img)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "gssbR_KTdVsa",
        "outputId": "447cfdf4-f609-4189-d20f-f7e3fe6028e7"
      },
      "execution_count": 241,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
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          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}